{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}/Users/jasonbyers/Dropbox/Jason Byers/Co-Authored Projects/Projects with George Krause/Krause Projects/Confirmation Dynamics Project/Confirmation Delay & Senate Committees/2023 Version/Fall 2024/Statistics/Output/Committee Delay.APPENDIX F RESULTS.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}25 Dec 2024, 22:00:37
{txt}
{com}. 
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. **** JSB UPDATED DATABASE: ADDING EXECUTIVE NOMINATION POSITIONS COVERED IN OSTRANDER DATABASE FROM MAY 2012 THROUGH DECEMBER 2020 AND UPDATING ALL OTHER DATA [SUMMER/FALL 2023]: /// 
> *** ADDITIONAL VARIABLES ADDED IN MARCH 2024 IN RESPSONSE TO LSQ REFEREE REPORTS ****
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. **** "EXECUTIVE DEFERENCE OR LEGISLATIVE CONSTRAINT? COMMITTEE FOUNDATIONS OF CONFIRMATION DELAY FOR U.S. EXECUTIVE BRANCH APPOINTMENTS" [KRAUSE & BYERS] ****
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. **** APPENDIX F: EVALUATING PARTISAN SELECTIVE COMMITTEE DELAY HYPOTHESIS WITH RESPECT TO TOTAL CONFIRMATION DELAY & SENATE FLOOR STAGE CONFIRMATON DELAY  ****
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. *******  TOTAL CONFIRMATION DELAY [totconfirmdurplus1 = (legvet2 + polvet2) + 1]
. *******  SENATE FLOOR STAGE CONFIRMATON DELAY [polvetdur2plus1 = polvet2 + 1]
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. *** COMMITTEE CONTROL COVARIATES:       experience_median  / chair_experience_1; ///
> ***                                                                             ln_combills_workload; committeestaffsize [# Committee Staff]   
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. *** OSTRANDER CONTROL COVARIATES:       sendivide  polarization pres_app_m first90 preselection lameduck workload [Executive Civilian Nominations: Senate] 
. ***                                                                             female priorconfirm _Itier_2 _Itier_3 _Itier_4 defense infrastructure social
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. *** ADDITIONAL CONTROL COVARIATES:      pressenfloorabsdist [-] [|Senate Floor Median - President|]; kv_workload (# civilian executive nominations made in a given year/session)        
. ***                                                                             denied [-] [nominee previously denied in same Congress]; fvra [+] [= 1 if subject to FVRA 1998, = 0 otherwise]; 
. ***                                                                             firstrecess[-] [= 1 is nominated in July or August affected by August Recess, = 0 otherwise]; 
. ***                                                                     secondrecess [-] [= 1 is nominated in November or December affected by December Recess, = 0 otherwise]; major policy agency binary indicator [-];                      
. ***                                     committee-level & pressidential administration unit/fixed effects.
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.  * OPEN UPDATED "CONFIRMATION DELAY & SENATE COMMITTEES PROJECT" MANUSCRIPT DATABASE [12-23-2024] *
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. *use "C:\Users\gk57526\Dropbox\Confirmation Dynamics Project (Jason Byers)\Confirmation Delay & Senate Committees\2023 Version\Fall 2024\Statistics\Data\Committee Delay.MANUSCRIPT RESULTS.12-23-2024.dta", replace
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. use "/Users/jasonbyers/Dropbox/Jason Byers/Co-Authored Projects/Projects with George Krause/Krause Projects/Confirmation Dynamics Project/Confirmation Delay & Senate Committees/2023 Version/Fall 2024/Statistics/Data/Committee Delay.MANUSCRIPT RESULTS.12-23-2024.dta", replace
{txt}
{com}. 
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. *** CREATE OUTCOME DURATION VARIABLE  [ensure that privileged nominations are excluded from the sample values] *** 
. 
. generate polvetdur2plus1 = polvet2+1 if legvet2!=.
{txt}(244 missing values generated)

{com}. *
. *
. gen totvet2 = legvet2 + polvet2
{txt}(244 missing values generated)

{com}. *
. gen totconfirmdurplus1 = (legvet2 + polvet2) + 1 if legvet2!=.
{txt}(244 missing values generated)

{com}. 
. *
. *
. *
. *
. 
. *** SOME DESCRIPTIVE STATISTICS AND CORRELATIONS INVOLVING THE VARIOUS OUTCOME DURATION MEASURES
. *** [LEGISLATIVE COMMITTEE DELAY; TOTAL CONFIRMATION DELAY; & SENATE FLOOR CONFIRMATON DELAY]
. 
. correlate legvet2 totvet2 polvet2  if legvet2!=.
{txt}(obs=10,110)

             {c |}  legvet2  totvet2  polvet2
{hline 13}{c +}{hline 27}
     legvet2 {c |}{res}   1.0000
     {txt}totvet2 {c |}{res}   0.8026   1.0000
     {txt}polvet2 {c |}{res}  -0.0869   0.5245   1.0000

{txt}
{com}. *
. *
. sum legvetdur2plus1  totconfirmdurplus1  polvetdur2plus1  if legvet2!=., detail

                       {txt}legvetdur2plus1
{hline 61}
      Percentiles      Smallest
 1%    {res}        1              1
{txt} 5%    {res}        4              1
{txt}10%    {res}       12              1       {txt}Obs         {res}     10,110
{txt}25%    {res}       31              1       {txt}Sum of wgt. {res}     10,110

{txt}50%    {res}       65                      {txt}Mean          {res} 97.73462
                        {txt}Largest       Std. dev.     {res} 110.4779
{txt}75%    {res}      114            728
{txt}90%    {res}      226            728       {txt}Variance      {res} 12205.38
{txt}95%    {res}      324            730       {txt}Skewness      {res} 2.649102
{txt}99%    {res}      611            730       {txt}Kurtosis      {res} 11.72765

                     {txt}totconfirmdurplus1
{hline 61}
      Percentiles      Smallest
 1%    {res}        1              1
{txt} 5%    {res}       12              1
{txt}10%    {res}       22              1       {txt}Obs         {res}     10,110
{txt}25%    {res}       45              1       {txt}Sum of wgt. {res}     10,110

{txt}50%    {res}       89                      {txt}Mean          {res} 129.9227
                        {txt}Largest       Std. dev.     {res} 129.2664
{txt}75%    {res}      167            728
{txt}90%    {res}      306            730       {txt}Variance      {res} 16709.79
{txt}95%    {res}      397            730       {txt}Skewness      {res} 2.027403
{txt}99%    {res}      651            732       {txt}Kurtosis      {res} 7.722666

                       {txt}polvetdur2plus1
{hline 61}
      Percentiles      Smallest
 1%    {res}        1              1
{txt} 5%    {res}        1              1
{txt}10%    {res}        1              1       {txt}Obs         {res}     10,110
{txt}25%    {res}        1              1       {txt}Sum of wgt. {res}     10,110

{txt}50%    {res}        3                      {txt}Mean          {res} 33.18813
                        {txt}Largest       Std. dev.     {res} 77.39743
{txt}75%    {res}       24            719
{txt}90%    {res}     96.5            719       {txt}Variance      {res} 5990.361
{txt}95%    {res}      182            719       {txt}Skewness      {res} 4.256819
{txt}99%    {res}      383            732       {txt}Kurtosis      {res} 25.86586
{txt}
{com}. 
. 
. 
. 
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. 
. 
. *** SET SURVICAL TIME FUNCTION [STSET] OUTCOME DURATION FOR TOTAL CONFIRMATION DELAY
. 
. stset totconfirmdurplus1, failure(confirmbinary)

{txt}Survival-time data settings

{col 10}Failure event: {res}confirmbinary!=0 & confirmbinary<.
{col 1}{txt}Observed time interval: {res}(0, totconfirmdurplus1]
{col 6}{txt}Exit on or before: {res}failure

{txt}{hline 74}
{res}     10,354{txt}  total observations
{res}        244{txt}  event time missing (totconfirmdurplus1>=.){col 61}PROBABLE ERROR
{hline 74}
{res}     10,110{txt}  observations remaining, representing
{res}      7,166{txt}  failures in single-record/single-failure data
{res}  1,313,519{txt}  total analysis time at risk and under observation
                                                At risk from t = {res}        0
                                     {txt}Earliest observed entry t = {res}        0
                                          {txt}Last observed exit t = {res}      732
{txt}
{com}. 
. *
. *
. *
. *
. 
. 
. 
. 
. *** EVALUATING THE PARTISAN SELECTIVE [TOTAL CONFIRMATION] DELAY HYPOTHESIS: FIRST SET OF ANALYSES ON FULL SAMPLE OF EXECUTIVE NOMINEES [N = 9,879] ***
. 
. 
. 
. * SENATE COMMITTEE MEDIAN PREFERENCE DISTANCE & UNIFIED/DIVIDED PARTISAN CONTROL OF SENATE & PRESIDENCY [MODEL F1: COX SEMIPARAMETRIC MODEL] *
. 
. stcox  c.committee_pres1##i.sendivide  pressenfloorabsdist   experience_median  committeestaffsize ln_combills_workload   pres_app_m first90 preselection lameduck   kv_workload  polarization   workload  female priorconfirm denied  x_itier_2 x_itier_3 x_itier_4 defense infrastructure social fvra firstrecess secondrecess policy_majagency   i.kbcom_1 i.presrev,  vce(cluster kbcom_1)

{col 9}{txt}Failure {bf:_d}: {res}confirmbinary
{col 3}{txt}Analysis time {bf:_t}: {res}totconfirmdurplus1

{txt}Iteration 0:  Log pseudolikelihood = {res} -59587.08
{txt}Iteration 1:  Log pseudolikelihood = {res}-59171.797
{txt}Iteration 2:  Log pseudolikelihood = {res}-58536.432
{txt}Iteration 3:  Log pseudolikelihood = {res}-58480.966
{txt}Iteration 4:  Log pseudolikelihood = {res}-58479.561
{txt}Iteration 5:  Log pseudolikelihood = {res} -58479.56
{txt}Refining estimates:
Iteration 0:  Log pseudolikelihood = {res} -58479.56

{txt}Cox regression with Breslow method for ties

No. of subjects = {res}{ralign 9:9,879}{col 55}{txt}{lalign 13:Number of obs} = {res}{ralign 8:9,879}
{txt}No. of failures = {res}{ralign 9:7,076}
{txt}Time at risk    = {res}{ralign 9:1,262,926}
{col 55}{txt}{lalign 13:Wald chi2({res:19})} = {res}{ralign 8:59567.12}
{txt}Log pseudolikelihood = {res}-58479.56{col 55}{txt}{lalign 13:Prob > chi2} = {res}{ralign 8:0.0000}

{txt}{ralign 81:(Std. err. adjusted for {res:20} clusters in {res:kbcom_1})}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}             _t{col 17}{c |} Haz. ratio{col 29}   std. err.{col 41}      z{col 49}   P>|z|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
committee_pres1 {c |}{col 17}{res}{space 2} .3201125{col 29}{space 2}  .214698{col 40}{space 1}   -1.70{col 49}{space 3}0.089{col 57}{space 4} .0859816{col 70}{space 3}  1.19179
{txt}{space 4}1.sendivide {c |}{col 17}{res}{space 2} .2046074{col 29}{space 2}   .09974{col 40}{space 1}   -3.25{col 49}{space 3}0.001{col 57}{space 4}  .078702{col 70}{space 3} .5319328
{txt}{space 15} {c |}
{space 6}sendivide#{c |}
{space 13}c. {c |}
committee_pres1 {c |}
{space 13}1  {c |}{col 17}{res}{space 2} 8.039405{col 29}{space 2} 4.634772{col 40}{space 1}    3.62{col 49}{space 3}0.000{col 57}{space 4}  2.59717{col 70}{space 3} 24.88556
{txt}{space 15} {c |}
pressenfloora~t {c |}{col 17}{res}{space 2} 1.350239{col 29}{space 2} 1.122886{col 40}{space 1}    0.36{col 49}{space 3}0.718{col 57}{space 4} .2645661{col 70}{space 3} 6.891075
{txt}experience_me~n {c |}{col 17}{res}{space 2} .9988588{col 29}{space 2} .0121773{col 40}{space 1}   -0.09{col 49}{space 3}0.925{col 57}{space 4} .9752747{col 70}{space 3} 1.023013
{txt}committeestaf~e {c |}{col 17}{res}{space 2} .9932171{col 29}{space 2} .0037717{col 40}{space 1}   -1.79{col 49}{space 3}0.073{col 57}{space 4} .9858522{col 70}{space 3} 1.000637
{txt}ln_combills_w~d {c |}{col 17}{res}{space 2} .8036226{col 29}{space 2} .0825087{col 40}{space 1}   -2.13{col 49}{space 3}0.033{col 57}{space 4} .6571408{col 70}{space 3} .9827564
{txt}{space 5}pres_app_m {c |}{col 17}{res}{space 2} 1.003493{col 29}{space 2} .0024023{col 40}{space 1}    1.46{col 49}{space 3}0.145{col 57}{space 4} .9987956{col 70}{space 3} 1.008212
{txt}{space 8}first90 {c |}{col 17}{res}{space 2} 2.993962{col 29}{space 2} .3334321{col 40}{space 1}    9.85{col 49}{space 3}0.000{col 57}{space 4} 2.406853{col 70}{space 3} 3.724286
{txt}{space 3}preselection {c |}{col 17}{res}{space 2} .7255884{col 29}{space 2} .0459373{col 40}{space 1}   -5.07{col 49}{space 3}0.000{col 57}{space 4} .6409149{col 70}{space 3} .8214484
{txt}{space 7}lameduck {c |}{col 17}{res}{space 2} .8659397{col 29}{space 2} .0760966{col 40}{space 1}   -1.64{col 49}{space 3}0.101{col 57}{space 4} .7289306{col 70}{space 3} 1.028701
{txt}{space 4}kv_workload {c |}{col 17}{res}{space 2} .9999422{col 29}{space 2} .0000275{col 40}{space 1}   -2.10{col 49}{space 3}0.036{col 57}{space 4} .9998883{col 70}{space 3} .9999961
{txt}{space 3}polarization {c |}{col 17}{res}{space 2} .1710479{col 29}{space 2}  .199252{col 40}{space 1}   -1.52{col 49}{space 3}0.130{col 57}{space 4} .0174406{col 70}{space 3} 1.677543
{txt}{space 7}workload {c |}{col 17}{res}{space 2} 1.002009{col 29}{space 2} .0012957{col 40}{space 1}    1.55{col 49}{space 3}0.121{col 57}{space 4} .9994732{col 70}{space 3} 1.004552
{txt}{space 9}female {c |}{col 17}{res}{space 2} .9877944{col 29}{space 2} .0491714{col 40}{space 1}   -0.25{col 49}{space 3}0.805{col 57}{space 4} .8959723{col 70}{space 3} 1.089027
{txt}{space 3}priorconfirm {c |}{col 17}{res}{space 2} .9547166{col 29}{space 2} .0511777{col 40}{space 1}   -0.86{col 49}{space 3}0.387{col 57}{space 4} .8594996{col 70}{space 3} 1.060482
{txt}{space 9}denied {c |}{col 17}{res}{space 2}  .561576{col 29}{space 2}  .051923{col 40}{space 1}   -6.24{col 49}{space 3}0.000{col 57}{space 4} .4684971{col 70}{space 3} .6731473
{txt}{space 6}x_itier_2 {c |}{col 17}{res}{space 2} .9041805{col 29}{space 2} .0336486{col 40}{space 1}   -2.71{col 49}{space 3}0.007{col 57}{space 4} .8405781{col 70}{space 3} .9725953
{txt}{space 6}x_itier_3 {c |}{col 17}{res}{space 2}  .779303{col 29}{space 2} .1471527{col 40}{space 1}   -1.32{col 49}{space 3}0.187{col 57}{space 4} .5382416{col 70}{space 3} 1.128328
{txt}{space 6}x_itier_4 {c |}{col 17}{res}{space 2} .7880143{col 29}{space 2} .0911607{col 40}{space 1}   -2.06{col 49}{space 3}0.039{col 57}{space 4} .6281503{col 70}{space 3} .9885635
{txt}{space 8}defense {c |}{col 17}{res}{space 2} 1.025434{col 29}{space 2} .1006604{col 40}{space 1}    0.26{col 49}{space 3}0.798{col 57}{space 4} .8459616{col 70}{space 3} 1.242982
{txt}{space 1}infrastructure {c |}{col 17}{res}{space 2} .9124945{col 29}{space 2} .0915241{col 40}{space 1}   -0.91{col 49}{space 3}0.361{col 57}{space 4}  .749642{col 70}{space 3} 1.110725
{txt}{space 9}social {c |}{col 17}{res}{space 2} .9372759{col 29}{space 2} .0593649{col 40}{space 1}   -1.02{col 49}{space 3}0.306{col 57}{space 4}  .827855{col 70}{space 3} 1.061159
{txt}{space 11}fvra {c |}{col 17}{res}{space 2} 1.174862{col 29}{space 2} .0861302{col 40}{space 1}    2.20{col 49}{space 3}0.028{col 57}{space 4} 1.017617{col 70}{space 3} 1.356404
{txt}{space 4}firstrecess {c |}{col 17}{res}{space 2} 1.003634{col 29}{space 2} .0390992{col 40}{space 1}    0.09{col 49}{space 3}0.926{col 57}{space 4} .9298532{col 70}{space 3} 1.083268
{txt}{space 3}secondrecess {c |}{col 17}{res}{space 2} .7809217{col 29}{space 2} .0673925{col 40}{space 1}   -2.87{col 49}{space 3}0.004{col 57}{space 4} .6594014{col 70}{space 3} .9248368
{txt}policy_majage~y {c |}{col 17}{res}{space 2} 1.255711{col 29}{space 2} .0859818{col 40}{space 1}    3.33{col 49}{space 3}0.001{col 57}{space 4} 1.098009{col 70}{space 3} 1.436064
{txt}{space 15} {c |}
{space 8}kbcom_1 {c |}
{space 13}2  {c |}{col 17}{res}{space 2} 1.040372{col 29}{space 2} .1330507{col 40}{space 1}    0.31{col 49}{space 3}0.757{col 57}{space 4} .8097119{col 70}{space 3} 1.336739
{txt}{space 13}3  {c |}{col 17}{res}{space 2} .9070662{col 29}{space 2}  .071255{col 40}{space 1}   -1.24{col 49}{space 3}0.214{col 57}{space 4}  .777629{col 70}{space 3} 1.058048
{txt}{space 13}4  {c |}{col 17}{res}{space 2} 1.506301{col 29}{space 2} .2085479{col 40}{space 1}    2.96{col 49}{space 3}0.003{col 57}{space 4} 1.148319{col 70}{space 3} 1.975882
{txt}{space 13}5  {c |}{col 17}{res}{space 2} 1.308778{col 29}{space 2} .2091953{col 40}{space 1}    1.68{col 49}{space 3}0.092{col 57}{space 4} .9567754{col 70}{space 3} 1.790285
{txt}{space 13}6  {c |}{col 17}{res}{space 2} 1.444787{col 29}{space 2} .2249723{col 40}{space 1}    2.36{col 49}{space 3}0.018{col 57}{space 4} 1.064782{col 70}{space 3} 1.960411
{txt}{space 13}7  {c |}{col 17}{res}{space 2} 1.103281{col 29}{space 2} .1114019{col 40}{space 1}    0.97{col 49}{space 3}0.330{col 57}{space 4} .9051856{col 70}{space 3} 1.344729
{txt}{space 13}8  {c |}{col 17}{res}{space 2} 1.203091{col 29}{space 2} .3438715{col 40}{space 1}    0.65{col 49}{space 3}0.518{col 57}{space 4} .6870767{col 70}{space 3} 2.106647
{txt}{space 13}9  {c |}{col 17}{res}{space 2}   1.0059{col 29}{space 2} .1284322{col 40}{space 1}    0.05{col 49}{space 3}0.963{col 57}{space 4} .7832026{col 70}{space 3} 1.291919
{txt}{space 12}10  {c |}{col 17}{res}{space 2} .8020333{col 29}{space 2} .1794656{col 40}{space 1}   -0.99{col 49}{space 3}0.324{col 57}{space 4} .5172789{col 70}{space 3} 1.243541
{txt}{space 12}11  {c |}{col 17}{res}{space 2} 1.318088{col 29}{space 2} .3091899{col 40}{space 1}    1.18{col 49}{space 3}0.239{col 57}{space 4}  .832289{col 70}{space 3} 2.087443
{txt}{space 12}12  {c |}{col 17}{res}{space 2}   1.1944{col 29}{space 2} .3875163{col 40}{space 1}    0.55{col 49}{space 3}0.584{col 57}{space 4}  .632386{col 70}{space 3} 2.255887
{txt}{space 12}13  {c |}{col 17}{res}{space 2} .6892232{col 29}{space 2} .0592487{col 40}{space 1}   -4.33{col 49}{space 3}0.000{col 57}{space 4} .5823536{col 70}{space 3} .8157048
{txt}{space 12}14  {c |}{col 17}{res}{space 2}  .823512{col 29}{space 2} .2065285{col 40}{space 1}   -0.77{col 49}{space 3}0.439{col 57}{space 4} .5037293{col 70}{space 3} 1.346303
{txt}{space 12}15  {c |}{col 17}{res}{space 2}  1.94475{col 29}{space 2} .7005926{col 40}{space 1}    1.85{col 49}{space 3}0.065{col 57}{space 4} .9598864{col 70}{space 3} 3.940103
{txt}{space 12}16  {c |}{col 17}{res}{space 2} 1.207697{col 29}{space 2} .3375189{col 40}{space 1}    0.68{col 49}{space 3}0.500{col 57}{space 4} .6983448{col 70}{space 3} 2.088555
{txt}{space 12}17  {c |}{col 17}{res}{space 2} .6357882{col 29}{space 2} .0989331{col 40}{space 1}   -2.91{col 49}{space 3}0.004{col 57}{space 4} .4686619{col 70}{space 3} .8625124
{txt}{space 12}18  {c |}{col 17}{res}{space 2} .6063388{col 29}{space 2} .1509334{col 40}{space 1}   -2.01{col 49}{space 3}0.044{col 57}{space 4} .3722453{col 70}{space 3} .9876463
{txt}{space 12}19  {c |}{col 17}{res}{space 2} .4596616{col 29}{space 2} .0487674{col 40}{space 1}   -7.33{col 49}{space 3}0.000{col 57}{space 4} .3733626{col 70}{space 3} .5659077
{txt}{space 12}20  {c |}{col 17}{res}{space 2} .9249899{col 29}{space 2} .0725052{col 40}{space 1}   -0.99{col 49}{space 3}0.320{col 57}{space 4} .7932602{col 70}{space 3} 1.078595
{txt}{space 15} {c |}
{space 8}presrev {c |}
{space 13}2  {c |}{col 17}{res}{space 2} 1.745318{col 29}{space 2} .3464267{col 40}{space 1}    2.81{col 49}{space 3}0.005{col 57}{space 4} 1.182824{col 70}{space 3} 2.575306
{txt}{space 13}3  {c |}{col 17}{res}{space 2} 1.345737{col 29}{space 2} .3729757{col 40}{space 1}    1.07{col 49}{space 3}0.284{col 57}{space 4} .7817117{col 70}{space 3}  2.31672
{txt}{space 13}4  {c |}{col 17}{res}{space 2} 1.093435{col 29}{space 2} .2158602{col 40}{space 1}    0.45{col 49}{space 3}0.651{col 57}{space 4}  .742597{col 70}{space 3} 1.610025
{txt}{space 13}5  {c |}{col 17}{res}{space 2} .6534361{col 29}{space 2} .1927827{col 40}{space 1}   -1.44{col 49}{space 3}0.149{col 57}{space 4} .3664999{col 70}{space 3} 1.165017
{txt}{space 13}6  {c |}{col 17}{res}{space 2} .4599646{col 29}{space 2} .1848339{col 40}{space 1}   -1.93{col 49}{space 3}0.053{col 57}{space 4} .2092543{col 70}{space 3} 1.011054
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *
. *
. 
. * DESCRIPTIVE STATISTICS FOR EACH PARTISAN CONTROL REGIME *
. sum wSenComm_committee_pres1 if e(sample) & sendivide==0, detail

                  {txt}wSenComm_committee_pres1
{hline 61}
      Percentiles      Smallest
 1%    {res}-.5386078      -.5386078
{txt} 5%    {res}-.4312148      -.5386078
{txt}10%    {res} -.412061      -.5386078       {txt}Obs         {res}      5,188
{txt}25%    {res}-.3654062      -.5386078       {txt}Sum of wgt. {res}      5,188

{txt}50%    {res}-.2720448                      {txt}Mean          {res}-.1849183
                        {txt}Largest       Std. dev.     {res} .2315506
{txt}75%    {res}-.0624062        .490939
{txt}90%    {res} .1603195        .490939       {txt}Variance      {res} .0536157
{txt}95%    {res} .2121217        .490939       {txt}Skewness      {res} .7437833
{txt}99%    {res} .4655938        .490939       {txt}Kurtosis      {res} 2.725898
{txt}
{com}. sum wSenComm_committee_pres1 if e(sample) & sendivide==1, detail

                  {txt}wSenComm_committee_pres1
{hline 61}
      Percentiles      Smallest
 1%    {res}-.1966079      -.5386078
{txt} 5%    {res}-.1966079      -.2916805
{txt}10%    {res}-.0414062      -.2201461       {txt}Obs         {res}      4,691
{txt}25%    {res} .0904305      -.1966079       {txt}Sum of wgt. {res}      4,691

{txt}50%    {res} .2273195                      {txt}Mean          {res}  .208086
                        {txt}Largest       Std. dev.     {res} .1784988
{txt}75%    {res} .3387852        .490939
{txt}90%    {res} .4655938        .490939       {txt}Variance      {res} .0318618
{txt}95%    {res} .4706168        .490939       {txt}Skewness      {res}-.4131515
{txt}99%    {res}  .490939        .676923       {txt}Kurtosis      {res} 2.718282
{txt}
{com}. 
. ** CONDITIONAL COEFFICIENT ANALYSIS TESTS: DIRECTION [+] ** 
. 
. * DIFFERENCE BETWEEN DIVIDED AND UNIFIED PARTISAN CONTROL OF SENATE & PRESIDENCY: INTERQUARTILE UNIT CHANGE IN "wSenComm_committee_pres1"  *
. lincomest (committee_pres1 * 0.303 +  1.sendivide#c.committee_pres1 * 0.2483547) - committee_pres1 * 0.303, eform(hr)
{txt}Confidence interval for formula:
{res}(committee_pres1*0.303+1.sendivide#c.committee_pres1*0.2483547)-committee_pres1*0.303

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}          _t{col 14}{c |}         hr{col 26}   Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} 1.678095{col 26}{space 2} .2402666{col 37}{space 1}    3.62{col 46}{space 3}0.000{col 54}{space 4} 1.267486{col 67}{space 3} 2.221724
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. matrix modelF1 = r(table)
{txt}
{com}. mat list modelF1
{res}
{txt}modelF1[9,1]
               (1)
     b {res} 1.6780953
{txt}    se {res} .24026664
{txt}     z {res} 3.6154905
{txt}pvalue {res} .00029978
{txt}    ll {res} 1.2674858
{txt}    ul {res}  2.221724
{txt}    df {res}         .
{txt}  crit {res}  1.959964
{txt} eform {res}         1
{reset}
{com}. *
. *
. *
. 
. 
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
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. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. 
. 
. * SENATE COMMITTEE CHAIR PREFERENCE DISTANCE & UNIFIED/DIVIDED PARTISAN CONTROL OF SENATE & PRESIDENCY [MODEL F2: COX SEMIPARAMETRIC MODEL] *
. 
. stcox  c.chair_pres1##i.sendivide  pressenfloorabsdist   chair_experience_1  committeestaffsize ln_combills_workload   pres_app_m first90 preselection lameduck   kv_workload  polarization   workload  female priorconfirm denied  x_itier_2 x_itier_3 x_itier_4 defense infrastructure social fvra firstrecess secondrecess policy_majagency  i.kbcom_1 i.presrev,  vce(cluster kbcom_1)

{col 9}{txt}Failure {bf:_d}: {res}confirmbinary
{col 3}{txt}Analysis time {bf:_t}: {res}totconfirmdurplus1

{txt}Iteration 0:  Log pseudolikelihood = {res} -59587.08
{txt}Iteration 1:  Log pseudolikelihood = {res}-59163.178
{txt}Iteration 2:  Log pseudolikelihood = {res}-58536.478
{txt}Iteration 3:  Log pseudolikelihood = {res} -58482.09
{txt}Iteration 4:  Log pseudolikelihood = {res}-58480.737
{txt}Iteration 5:  Log pseudolikelihood = {res}-58480.736
{txt}Refining estimates:
Iteration 0:  Log pseudolikelihood = {res}-58480.736

{txt}Cox regression with Breslow method for ties

No. of subjects = {res}{ralign 9:9,879}{col 55}{txt}{lalign 13:Number of obs} = {res}{ralign 8:9,879}
{txt}No. of failures = {res}{ralign 9:7,076}
{txt}Time at risk    = {res}{ralign 9:1,262,926}
{col 55}{txt}{lalign 13:Wald chi2({res:19})} = {res}{ralign 8:17962.97}
{txt}Log pseudolikelihood = {res}-58480.736{col 55}{txt}{lalign 13:Prob > chi2} = {res}{ralign 8:0.0000}

{txt}{ralign 81:(Std. err. adjusted for {res:20} clusters in {res:kbcom_1})}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}             _t{col 17}{c |} Haz. ratio{col 29}   std. err.{col 41}      z{col 49}   P>|z|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}chair_pres1 {c |}{col 17}{res}{space 2} 1.014906{col 29}{space 2} .2884196{col 40}{space 1}    0.05{col 49}{space 3}0.958{col 57}{space 4} .5814713{col 70}{space 3} 1.771427
{txt}{space 4}1.sendivide {c |}{col 17}{res}{space 2} .3608785{col 29}{space 2} .1049425{col 40}{space 1}   -3.50{col 49}{space 3}0.000{col 57}{space 4} .2040957{col 70}{space 3} .6380992
{txt}{space 15} {c |}
{space 6}sendivide#{c |}
{space 2}c.chair_pres1 {c |}
{space 13}1  {c |}{col 17}{res}{space 2} 2.454054{col 29}{space 2} .7941198{col 40}{space 1}    2.77{col 49}{space 3}0.006{col 57}{space 4} 1.301486{col 70}{space 3} 4.627311
{txt}{space 15} {c |}
pressenfloora~t {c |}{col 17}{res}{space 2} .5306392{col 29}{space 2} .3693073{col 40}{space 1}   -0.91{col 49}{space 3}0.363{col 57}{space 4} .1356411{col 70}{space 3} 2.075905
{txt}chair_experie~1 {c |}{col 17}{res}{space 2} 1.006971{col 29}{space 2}  .002751{col 40}{space 1}    2.54{col 49}{space 3}0.011{col 57}{space 4} 1.001594{col 70}{space 3} 1.012378
{txt}committeestaf~e {c |}{col 17}{res}{space 2} .9941248{col 29}{space 2} .0042816{col 40}{space 1}   -1.37{col 49}{space 3}0.171{col 57}{space 4} .9857684{col 70}{space 3} 1.002552
{txt}ln_combills_w~d {c |}{col 17}{res}{space 2} .7652405{col 29}{space 2} .0742746{col 40}{space 1}   -2.76{col 49}{space 3}0.006{col 57}{space 4} .6326739{col 70}{space 3} .9255844
{txt}{space 5}pres_app_m {c |}{col 17}{res}{space 2} 1.003149{col 29}{space 2} .0022177{col 40}{space 1}    1.42{col 49}{space 3}0.155{col 57}{space 4} .9988114{col 70}{space 3} 1.007505
{txt}{space 8}first90 {c |}{col 17}{res}{space 2} 3.034551{col 29}{space 2} .3082485{col 40}{space 1}   10.93{col 49}{space 3}0.000{col 57}{space 4} 2.486736{col 70}{space 3} 3.703047
{txt}{space 3}preselection {c |}{col 17}{res}{space 2} .7198464{col 29}{space 2} .0485742{col 40}{space 1}   -4.87{col 49}{space 3}0.000{col 57}{space 4} .6306698{col 70}{space 3} .8216326
{txt}{space 7}lameduck {c |}{col 17}{res}{space 2} .8506633{col 29}{space 2} .0808496{col 40}{space 1}   -1.70{col 49}{space 3}0.089{col 57}{space 4} .7060849{col 70}{space 3} 1.024846
{txt}{space 4}kv_workload {c |}{col 17}{res}{space 2} .9999629{col 29}{space 2} .0000282{col 40}{space 1}   -1.32{col 49}{space 3}0.188{col 57}{space 4} .9999076{col 70}{space 3} 1.000018
{txt}{space 3}polarization {c |}{col 17}{res}{space 2} .0628141{col 29}{space 2} .0757078{col 40}{space 1}   -2.30{col 49}{space 3}0.022{col 57}{space 4} .0059174{col 70}{space 3} .6667797
{txt}{space 7}workload {c |}{col 17}{res}{space 2} 1.001859{col 29}{space 2} .0013116{col 40}{space 1}    1.42{col 49}{space 3}0.156{col 57}{space 4} .9992918{col 70}{space 3} 1.004433
{txt}{space 9}female {c |}{col 17}{res}{space 2} .9864666{col 29}{space 2} .0490393{col 40}{space 1}   -0.27{col 49}{space 3}0.784{col 57}{space 4} .8948853{col 70}{space 3}  1.08742
{txt}{space 3}priorconfirm {c |}{col 17}{res}{space 2} .9444952{col 29}{space 2} .0538159{col 40}{space 1}   -1.00{col 49}{space 3}0.316{col 57}{space 4} .8446942{col 70}{space 3} 1.056088
{txt}{space 9}denied {c |}{col 17}{res}{space 2} .5556226{col 29}{space 2} .0539007{col 40}{space 1}   -6.06{col 49}{space 3}0.000{col 57}{space 4} .4594151{col 70}{space 3} .6719773
{txt}{space 6}x_itier_2 {c |}{col 17}{res}{space 2} .8832175{col 29}{space 2} .0344709{col 40}{space 1}   -3.18{col 49}{space 3}0.001{col 57}{space 4} .8181751{col 70}{space 3} .9534305
{txt}{space 6}x_itier_3 {c |}{col 17}{res}{space 2} .7649946{col 29}{space 2} .1429711{col 40}{space 1}   -1.43{col 49}{space 3}0.152{col 57}{space 4} .5303663{col 70}{space 3}  1.10342
{txt}{space 6}x_itier_4 {c |}{col 17}{res}{space 2} .7872839{col 29}{space 2} .0926075{col 40}{space 1}   -2.03{col 49}{space 3}0.042{col 57}{space 4} .6251803{col 70}{space 3} .9914194
{txt}{space 8}defense {c |}{col 17}{res}{space 2} 1.047335{col 29}{space 2} .0945518{col 40}{space 1}    0.51{col 49}{space 3}0.608{col 57}{space 4} .8774861{col 70}{space 3}  1.25006
{txt}{space 1}infrastructure {c |}{col 17}{res}{space 2} .9084734{col 29}{space 2} .0850415{col 40}{space 1}   -1.03{col 49}{space 3}0.305{col 57}{space 4} .7561918{col 70}{space 3} 1.091422
{txt}{space 9}social {c |}{col 17}{res}{space 2} .9603865{col 29}{space 2} .0655656{col 40}{space 1}   -0.59{col 49}{space 3}0.554{col 57}{space 4} .8401068{col 70}{space 3} 1.097887
{txt}{space 11}fvra {c |}{col 17}{res}{space 2} 1.172774{col 29}{space 2} .0889254{col 40}{space 1}    2.10{col 49}{space 3}0.036{col 57}{space 4} 1.010816{col 70}{space 3} 1.360681
{txt}{space 4}firstrecess {c |}{col 17}{res}{space 2} 1.004014{col 29}{space 2}  .039116{col 40}{space 1}    0.10{col 49}{space 3}0.918{col 57}{space 4} .9302024{col 70}{space 3} 1.083683
{txt}{space 3}secondrecess {c |}{col 17}{res}{space 2} .8001625{col 29}{space 2} .0670125{col 40}{space 1}   -2.66{col 49}{space 3}0.008{col 57}{space 4} .6790335{col 70}{space 3}  .942899
{txt}policy_majage~y {c |}{col 17}{res}{space 2} 1.281423{col 29}{space 2} .0906773{col 40}{space 1}    3.50{col 49}{space 3}0.000{col 57}{space 4} 1.115472{col 70}{space 3} 1.472062
{txt}{space 15} {c |}
{space 8}kbcom_1 {c |}
{space 13}2  {c |}{col 17}{res}{space 2} .9089756{col 29}{space 2} .0930172{col 40}{space 1}   -0.93{col 49}{space 3}0.351{col 57}{space 4} .7437847{col 70}{space 3} 1.110855
{txt}{space 13}3  {c |}{col 17}{res}{space 2} .9194616{col 29}{space 2} .0660931{col 40}{space 1}   -1.17{col 49}{space 3}0.243{col 57}{space 4} .7986328{col 70}{space 3} 1.058571
{txt}{space 13}4  {c |}{col 17}{res}{space 2}   1.4696{col 29}{space 2} .2056859{col 40}{space 1}    2.75{col 49}{space 3}0.006{col 57}{space 4} 1.117029{col 70}{space 3} 1.933453
{txt}{space 13}5  {c |}{col 17}{res}{space 2} 1.268572{col 29}{space 2} .1937862{col 40}{space 1}    1.56{col 49}{space 3}0.119{col 57}{space 4} .9403422{col 70}{space 3}  1.71137
{txt}{space 13}6  {c |}{col 17}{res}{space 2} 1.488887{col 29}{space 2} .2023986{col 40}{space 1}    2.93{col 49}{space 3}0.003{col 57}{space 4} 1.140643{col 70}{space 3} 1.943452
{txt}{space 13}7  {c |}{col 17}{res}{space 2} 1.180938{col 29}{space 2} .1179472{col 40}{space 1}    1.67{col 49}{space 3}0.096{col 57}{space 4} .9709851{col 70}{space 3} 1.436288
{txt}{space 13}8  {c |}{col 17}{res}{space 2} 1.268569{col 29}{space 2} .3611107{col 40}{space 1}    0.84{col 49}{space 3}0.403{col 57}{space 4}  .726125{col 70}{space 3} 2.216242
{txt}{space 13}9  {c |}{col 17}{res}{space 2} .9889703{col 29}{space 2} .1191189{col 40}{space 1}   -0.09{col 49}{space 3}0.927{col 57}{space 4}  .781013{col 70}{space 3}   1.2523
{txt}{space 12}10  {c |}{col 17}{res}{space 2} .8082273{col 29}{space 2} .2029957{col 40}{space 1}   -0.85{col 49}{space 3}0.397{col 57}{space 4} .4940198{col 70}{space 3} 1.322278
{txt}{space 12}11  {c |}{col 17}{res}{space 2} 1.446254{col 29}{space 2}  .377872{col 40}{space 1}    1.41{col 49}{space 3}0.158{col 57}{space 4} .8666541{col 70}{space 3} 2.413478
{txt}{space 12}12  {c |}{col 17}{res}{space 2} 1.202526{col 29}{space 2} .4260544{col 40}{space 1}    0.52{col 49}{space 3}0.603{col 57}{space 4} .6005012{col 70}{space 3} 2.408101
{txt}{space 12}13  {c |}{col 17}{res}{space 2} .7779564{col 29}{space 2} .0789798{col 40}{space 1}   -2.47{col 49}{space 3}0.013{col 57}{space 4} .6375869{col 70}{space 3} .9492292
{txt}{space 12}14  {c |}{col 17}{res}{space 2} .7073523{col 29}{space 2} .1675053{col 40}{space 1}   -1.46{col 49}{space 3}0.144{col 57}{space 4} .4446989{col 70}{space 3} 1.125137
{txt}{space 12}15  {c |}{col 17}{res}{space 2} 1.883543{col 29}{space 2} .7288113{col 40}{space 1}    1.64{col 49}{space 3}0.102{col 57}{space 4} .8822965{col 70}{space 3} 4.021021
{txt}{space 12}16  {c |}{col 17}{res}{space 2} 1.248163{col 29}{space 2} .3704835{col 40}{space 1}    0.75{col 49}{space 3}0.455{col 57}{space 4}  .697614{col 70}{space 3}   2.2332
{txt}{space 12}17  {c |}{col 17}{res}{space 2} .6828759{col 29}{space 2}  .108781{col 40}{space 1}   -2.39{col 49}{space 3}0.017{col 57}{space 4} .4997431{col 70}{space 3} .9331185
{txt}{space 12}18  {c |}{col 17}{res}{space 2} .5508891{col 29}{space 2} .1285799{col 40}{space 1}   -2.55{col 49}{space 3}0.011{col 57}{space 4} .3486503{col 70}{space 3} .8704389
{txt}{space 12}19  {c |}{col 17}{res}{space 2} .4623468{col 29}{space 2} .0504516{col 40}{space 1}   -7.07{col 49}{space 3}0.000{col 57}{space 4} .3733224{col 70}{space 3} .5726002
{txt}{space 12}20  {c |}{col 17}{res}{space 2}  .946128{col 29}{space 2} .0836225{col 40}{space 1}   -0.63{col 49}{space 3}0.531{col 57}{space 4} .7956414{col 70}{space 3} 1.125077
{txt}{space 15} {c |}
{space 8}presrev {c |}
{space 13}2  {c |}{col 17}{res}{space 2} 1.651186{col 29}{space 2} .3171666{col 40}{space 1}    2.61{col 49}{space 3}0.009{col 57}{space 4} 1.133167{col 70}{space 3} 2.406015
{txt}{space 13}3  {c |}{col 17}{res}{space 2} 1.212935{col 29}{space 2} .3449676{col 40}{space 1}    0.68{col 49}{space 3}0.497{col 57}{space 4} .6946236{col 70}{space 3} 2.117998
{txt}{space 13}4  {c |}{col 17}{res}{space 2} 1.094081{col 29}{space 2} .2781384{col 40}{space 1}    0.35{col 49}{space 3}0.724{col 57}{space 4} .6647467{col 70}{space 3} 1.800706
{txt}{space 13}5  {c |}{col 17}{res}{space 2} .7259359{col 29}{space 2} .2468468{col 40}{space 1}   -0.94{col 49}{space 3}0.346{col 57}{space 4}  .372783{col 70}{space 3} 1.413645
{txt}{space 13}6  {c |}{col 17}{res}{space 2} .6387976{col 29}{space 2} .2285883{col 40}{space 1}   -1.25{col 49}{space 3}0.210{col 57}{space 4} .3167875{col 70}{space 3} 1.288126
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. *
. *
. * DESCRIPTIVE STATISTICS FOR EACH PARTISAN CONTROL REGIME *
. sum wSenComm_chair_pres1 if e(sample) & sendivide==0, detail

                    {txt}wSenComm_chair_pres1
{hline 61}
      Percentiles      Smallest
 1%    {res}-.7163319      -.7163319
{txt} 5%    {res}-.5493055      -.7163319
{txt}10%    {res}-.5251514      -.7163319       {txt}Obs         {res}      5,188
{txt}25%    {res}-.4552139      -.7163319       {txt}Sum of wgt. {res}      5,188

{txt}50%    {res}-.3632139                      {txt}Mean          {res}-.3108356
                        {txt}Largest       Std. dev.     {res} .2508708
{txt}75%    {res}-.1827927       .6940686
{txt}90%    {res}-.0447927       .6940686       {txt}Variance      {res} .0629362
{txt}95%    {res} .1718941       .6940686       {txt}Skewness      {res} 1.832556
{txt}99%    {res} .6122074       .6940686       {txt}Kurtosis      {res} 7.245385
{txt}
{com}. sum wSenComm_chair_pres1 if e(sample) & sendivide==1, detail

                    {txt}wSenComm_chair_pres1
{hline 61}
      Percentiles      Smallest
 1%    {res}-.2693319      -.7163319
{txt} 5%    {res}-.0833319      -.4493055
{txt}10%    {res} .0763208       -.411764       {txt}Obs         {res}      4,691
{txt}25%    {res} .2528486      -.3632139       {txt}Sum of wgt. {res}      4,691

{txt}50%    {res} .3532833                      {txt}Mean          {res} .3488678
                        {txt}Largest       Std. dev.     {res} .2152569
{txt}75%    {res} .4892833       .7534087
{txt}90%    {res} .6122074       .7534087       {txt}Variance      {res} .0463355
{txt}95%    {res} .6940686       .7534087       {txt}Skewness      {res}-.6841008
{txt}99%    {res} .7534087       .8284615       {txt}Kurtosis      {res} 3.657556
{txt}
{com}. 
. 
. ** CONDITIONAL COEFFICIENT ANALYSIS TESTS: DIRECTION [+] ** 
. 
. * DIFFERENCE BETWEEN DIVIDED AND UNIFIED PARTISAN CONTROL OF SENATE & PRESIDENCY: INTERQUARTILE UNIT CHANGE IN "wSenComm_chair_pres1" *
. lincomest (chair_pres1 * 0.2724212 +  1.sendivide#c.chair_pres1 * 0.2364347) - chair_pres1 * 0.2724212, eform(hr)
{txt}Confidence interval for formula:
{res}(chair_pres1*0.2724212+1.sendivide#c.chair_pres1*0.2364347)-chair_pres1*0.2724212

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}          _t{col 14}{c |}         hr{col 26}   Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} 1.236466{col 26}{space 2} .0946009{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} 1.064284{col 67}{space 3} 1.436504
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. matrix modelF2 = r(table)
{txt}
{com}. mat list modelF2
{res}
{txt}modelF2[9,1]
               (1)
     b {res} 1.2364658
{txt}    se {res} .09460091
{txt}     z {res} 2.7742726
{txt}pvalue {res} .00553253
{txt}    ll {res} 1.0642837
{txt}    ul {res} 1.4365039
{txt}    df {res}         .
{txt}  crit {res}  1.959964
{txt} eform {res}         1
{reset}
{com}. *
. *
. *
. 
. 
. 
. **********************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
. 
. 
. 
. 
. * SENATE COMMITTEE MEDIAN PREFERENCE DISTANCE & UNIFIED/DIVIDED PARTISAN CONTROL OF SENATE & PRESIDENCY [MODEL F3: WEIBULL PARAMETRIC MODEL] *
. 
. streg  c.committee_pres1##i.sendivide    pressenfloorabsdist   experience_median  committeestaffsize ln_combills_workload   pres_app_m first90 preselection lameduck   kv_workload  polarization   workload  female priorconfirm denied  x_itier_2 x_itier_3 x_itier_4 defense infrastructure social fvra firstrecess secondrecess policy_majagency  i.kbcom_1  i.presrev, distribution(weibull)  vce(cluster kbcom_1)

{col 9}{txt}Failure {bf:_d}: {res}confirmbinary
{col 3}{txt}Analysis time {bf:_t}: {res}totconfirmdurplus1

{txt}Fitting constant-only model:
Iteration 0:  Log pseudolikelihood = {res} -13713.83
{txt}Iteration 1:  Log pseudolikelihood = {res}-13713.779
{txt}Iteration 2:  Log pseudolikelihood = {res}-13713.779

{txt}Fitting full model:
{res}{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-13713.779}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-13509.094}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-12555.542}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-12519.156}  
Iteration 4:{space 2}Log pseudolikelihood = {res: -12518.96}  
Iteration 5:{space 2}Log pseudolikelihood = {res: -12518.96}  
{res}
{txt}Weibull PH regression

No. of subjects = {res}{ralign 9:9,879}{col 57}{txt}{lalign 13:Number of obs} = {res}{ralign 6:9,879}
{txt}No. of failures = {res}{ralign 9:7,076}
{txt}Time at risk    = {res}{ralign 9:1,262,926}
{col 57}{txt}{lalign 13:{help j_robustsingular##|_new:Wald chi2(17)}} = {res}{ralign 6:.}
{txt}Log pseudolikelihood = {res}-12518.96{col 57}{txt}{lalign 13:Prob > chi2} = {res}{ralign 6:.}

{txt}{ralign 81:(Std. err. adjusted for {res:20} clusters in {res:kbcom_1})}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}             _t{col 17}{c |} Haz. ratio{col 29}   std. err.{col 41}      z{col 49}   P>|z|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
committee_pres1 {c |}{col 17}{res}{space 2} .3083635{col 29}{space 2} .2392827{col 40}{space 1}   -1.52{col 49}{space 3}0.129{col 57}{space 4} .0673831{col 70}{space 3} 1.411156
{txt}{space 4}1.sendivide {c |}{col 17}{res}{space 2} .1841922{col 29}{space 2} .0973556{col 40}{space 1}   -3.20{col 49}{space 3}0.001{col 57}{space 4} .0653679{col 70}{space 3}  .519012
{txt}{space 15} {c |}
{space 6}sendivide#{c |}
{space 13}c. {c |}
committee_pres1 {c |}
{space 13}1  {c |}{col 17}{res}{space 2} 9.906645{col 29}{space 2} 5.953754{col 40}{space 1}    3.82{col 49}{space 3}0.000{col 57}{space 4} 3.050468{col 70}{space 3} 32.17264
{txt}{space 15} {c |}
pressenfloora~t {c |}{col 17}{res}{space 2} .9643406{col 29}{space 2} .9120658{col 40}{space 1}   -0.04{col 49}{space 3}0.969{col 57}{space 4} .1510674{col 70}{space 3} 6.155881
{txt}experience_me~n {c |}{col 17}{res}{space 2} 1.004876{col 29}{space 2} .0139764{col 40}{space 1}    0.35{col 49}{space 3}0.727{col 57}{space 4} .9778531{col 70}{space 3} 1.032646
{txt}committeestaf~e {c |}{col 17}{res}{space 2} .9928187{col 29}{space 2} .0041127{col 40}{space 1}   -1.74{col 49}{space 3}0.082{col 57}{space 4} .9847907{col 70}{space 3} 1.000912
{txt}ln_combills_w~d {c |}{col 17}{res}{space 2} .7555761{col 29}{space 2} .0918572{col 40}{space 1}   -2.31{col 49}{space 3}0.021{col 57}{space 4} .5953818{col 70}{space 3} .9588725
{txt}{space 5}pres_app_m {c |}{col 17}{res}{space 2} 1.004896{col 29}{space 2} .0025555{col 40}{space 1}    1.92{col 49}{space 3}0.055{col 57}{space 4}    .9999{col 70}{space 3} 1.009918
{txt}{space 8}first90 {c |}{col 17}{res}{space 2} 2.754398{col 29}{space 2} .3039639{col 40}{space 1}    9.18{col 49}{space 3}0.000{col 57}{space 4} 2.218665{col 70}{space 3} 3.419493
{txt}{space 3}preselection {c |}{col 17}{res}{space 2} .8390674{col 29}{space 2}  .051762{col 40}{space 1}   -2.84{col 49}{space 3}0.004{col 57}{space 4}  .743509{col 70}{space 3} .9469073
{txt}{space 7}lameduck {c |}{col 17}{res}{space 2} .8834705{col 29}{space 2} .0801892{col 40}{space 1}   -1.37{col 49}{space 3}0.172{col 57}{space 4}  .739489{col 70}{space 3} 1.055486
{txt}{space 4}kv_workload {c |}{col 17}{res}{space 2}  .999907{col 29}{space 2} .0000316{col 40}{space 1}   -2.94{col 49}{space 3}0.003{col 57}{space 4}  .999845{col 70}{space 3}  .999969
{txt}{space 3}polarization {c |}{col 17}{res}{space 2} .1392131{col 29}{space 2} .1888297{col 40}{space 1}   -1.45{col 49}{space 3}0.146{col 57}{space 4} .0097522{col 70}{space 3}  1.98727
{txt}{space 7}workload {c |}{col 17}{res}{space 2} 1.002383{col 29}{space 2} .0013651{col 40}{space 1}    1.75{col 49}{space 3}0.081{col 57}{space 4} .9997107{col 70}{space 3} 1.005062
{txt}{space 9}female {c |}{col 17}{res}{space 2} .9911196{col 29}{space 2} .0529135{col 40}{space 1}   -0.17{col 49}{space 3}0.867{col 57}{space 4} .8926526{col 70}{space 3} 1.100448
{txt}{space 3}priorconfirm {c |}{col 17}{res}{space 2} .9493014{col 29}{space 2} .0612266{col 40}{space 1}   -0.81{col 49}{space 3}0.420{col 57}{space 4} .8365744{col 70}{space 3} 1.077218
{txt}{space 9}denied {c |}{col 17}{res}{space 2}  .533453{col 29}{space 2}  .047427{col 40}{space 1}   -7.07{col 49}{space 3}0.000{col 57}{space 4}  .448146{col 70}{space 3} .6349986
{txt}{space 6}x_itier_2 {c |}{col 17}{res}{space 2} .9024502{col 29}{space 2} .0386992{col 40}{space 1}   -2.39{col 49}{space 3}0.017{col 57}{space 4} .8297012{col 70}{space 3} .9815779
{txt}{space 6}x_itier_3 {c |}{col 17}{res}{space 2} .7507158{col 29}{space 2} .1633738{col 40}{space 1}   -1.32{col 49}{space 3}0.188{col 57}{space 4} .4900423{col 70}{space 3} 1.150052
{txt}{space 6}x_itier_4 {c |}{col 17}{res}{space 2} .7553723{col 29}{space 2} .0892617{col 40}{space 1}   -2.37{col 49}{space 3}0.018{col 57}{space 4} .5992048{col 70}{space 3} .9522409
{txt}{space 8}defense {c |}{col 17}{res}{space 2} 1.024601{col 29}{space 2} .1097331{col 40}{space 1}    0.23{col 49}{space 3}0.820{col 57}{space 4} .8306007{col 70}{space 3} 1.263912
{txt}{space 1}infrastructure {c |}{col 17}{res}{space 2} .9153976{col 29}{space 2} .1031501{col 40}{space 1}   -0.78{col 49}{space 3}0.433{col 57}{space 4} .7339957{col 70}{space 3} 1.141632
{txt}{space 9}social {c |}{col 17}{res}{space 2} .9278862{col 29}{space 2} .0755704{col 40}{space 1}   -0.92{col 49}{space 3}0.358{col 57}{space 4} .7909878{col 70}{space 3} 1.088478
{txt}{space 11}fvra {c |}{col 17}{res}{space 2} 1.180099{col 29}{space 2} .0935014{col 40}{space 1}    2.09{col 49}{space 3}0.037{col 57}{space 4}  1.01036{col 70}{space 3} 1.378354
{txt}{space 4}firstrecess {c |}{col 17}{res}{space 2} 1.062628{col 29}{space 2} .0461954{col 40}{space 1}    1.40{col 49}{space 3}0.162{col 57}{space 4}  .975837{col 70}{space 3} 1.157139
{txt}{space 3}secondrecess {c |}{col 17}{res}{space 2} .8255986{col 29}{space 2} .0718439{col 40}{space 1}   -2.20{col 49}{space 3}0.028{col 57}{space 4} .6961408{col 70}{space 3} .9791311
{txt}policy_majage~y {c |}{col 17}{res}{space 2} 1.275163{col 29}{space 2} .0986245{col 40}{space 1}    3.14{col 49}{space 3}0.002{col 57}{space 4} 1.095801{col 70}{space 3} 1.483884
{txt}{space 15} {c |}
{space 8}kbcom_1 {c |}
{space 13}2  {c |}{col 17}{res}{space 2} 1.082838{col 29}{space 2} .1618927{col 40}{space 1}    0.53{col 49}{space 3}0.595{col 57}{space 4} .8077969{col 70}{space 3} 1.451526
{txt}{space 13}3  {c |}{col 17}{res}{space 2} .9679094{col 29}{space 2} .0928155{col 40}{space 1}   -0.34{col 49}{space 3}0.734{col 57}{space 4}  .802067{col 70}{space 3} 1.168043
{txt}{space 13}4  {c |}{col 17}{res}{space 2} 1.345952{col 29}{space 2} .2157221{col 40}{space 1}    1.85{col 49}{space 3}0.064{col 57}{space 4} .9831135{col 70}{space 3} 1.842705
{txt}{space 13}5  {c |}{col 17}{res}{space 2} 1.449064{col 29}{space 2} .2662809{col 40}{space 1}    2.02{col 49}{space 3}0.044{col 57}{space 4} 1.010812{col 70}{space 3} 2.077327
{txt}{space 13}6  {c |}{col 17}{res}{space 2} 1.661961{col 29}{space 2} .3062017{col 40}{space 1}    2.76{col 49}{space 3}0.006{col 57}{space 4} 1.158229{col 70}{space 3} 2.384774
{txt}{space 13}7  {c |}{col 17}{res}{space 2} 1.200184{col 29}{space 2} .1499227{col 40}{space 1}    1.46{col 49}{space 3}0.144{col 57}{space 4} .9395474{col 70}{space 3} 1.533122
{txt}{space 13}8  {c |}{col 17}{res}{space 2}  1.37706{col 29}{space 2} .4473701{col 40}{space 1}    0.98{col 49}{space 3}0.325{col 57}{space 4} .7284843{col 70}{space 3} 2.603068
{txt}{space 13}9  {c |}{col 17}{res}{space 2}  1.05869{col 29}{space 2} .1662974{col 40}{space 1}    0.36{col 49}{space 3}0.717{col 57}{space 4} .7781505{col 70}{space 3} 1.440371
{txt}{space 12}10  {c |}{col 17}{res}{space 2} .8393876{col 29}{space 2} .2123384{col 40}{space 1}   -0.69{col 49}{space 3}0.489{col 57}{space 4} .5112527{col 70}{space 3} 1.378128
{txt}{space 12}11  {c |}{col 17}{res}{space 2} 1.468205{col 29}{space 2} .3733723{col 40}{space 1}    1.51{col 49}{space 3}0.131{col 57}{space 4} .8919108{col 70}{space 3} 2.416861
{txt}{space 12}12  {c |}{col 17}{res}{space 2} 1.256856{col 29}{space 2}  .461224{col 40}{space 1}    0.62{col 49}{space 3}0.533{col 57}{space 4} .6122416{col 70}{space 3} 2.580168
{txt}{space 12}13  {c |}{col 17}{res}{space 2} .7237935{col 29}{space 2} .0664383{col 40}{space 1}   -3.52{col 49}{space 3}0.000{col 57}{space 4} .6046184{col 70}{space 3} .8664589
{txt}{space 12}14  {c |}{col 17}{res}{space 2} .7535722{col 29}{space 2} .2166895{col 40}{space 1}   -0.98{col 49}{space 3}0.325{col 57}{space 4}  .428906{col 70}{space 3} 1.323999
{txt}{space 12}15  {c |}{col 17}{res}{space 2} 2.264105{col 29}{space 2} .9189483{col 40}{space 1}    2.01{col 49}{space 3}0.044{col 57}{space 4} 1.021912{col 70}{space 3} 5.016257
{txt}{space 12}16  {c |}{col 17}{res}{space 2} 1.391554{col 29}{space 2} .4449946{col 40}{space 1}    1.03{col 49}{space 3}0.301{col 57}{space 4} .7435337{col 70}{space 3}  2.60435
{txt}{space 12}17  {c |}{col 17}{res}{space 2} .5924911{col 29}{space 2} .1020151{col 40}{space 1}   -3.04{col 49}{space 3}0.002{col 57}{space 4} .4227873{col 70}{space 3} .8303128
{txt}{space 12}18  {c |}{col 17}{res}{space 2}   .47239{col 29}{space 2} .1385389{col 40}{space 1}   -2.56{col 49}{space 3}0.011{col 57}{space 4} .2658686{col 70}{space 3} .8393333
{txt}{space 12}19  {c |}{col 17}{res}{space 2} .4512331{col 29}{space 2} .0559483{col 40}{space 1}   -6.42{col 49}{space 3}0.000{col 57}{space 4} .3538839{col 70}{space 3} .5753621
{txt}{space 12}20  {c |}{col 17}{res}{space 2} 1.002416{col 29}{space 2} .1021986{col 40}{space 1}    0.02{col 49}{space 3}0.981{col 57}{space 4} .8208538{col 70}{space 3} 1.224136
{txt}{space 15} {c |}
{space 8}presrev {c |}
{space 13}2  {c |}{col 17}{res}{space 2} 1.842159{col 29}{space 2} .3900754{col 40}{space 1}    2.89{col 49}{space 3}0.004{col 57}{space 4} 1.216427{col 70}{space 3} 2.789769
{txt}{space 13}3  {c |}{col 17}{res}{space 2} 1.268434{col 29}{space 2} .3783162{col 40}{space 1}    0.80{col 49}{space 3}0.425{col 57}{space 4} .7069572{col 70}{space 3} 2.275844
{txt}{space 13}4  {c |}{col 17}{res}{space 2} 1.108065{col 29}{space 2} .2436247{col 40}{space 1}    0.47{col 49}{space 3}0.641{col 57}{space 4} .7201385{col 70}{space 3} 1.704962
{txt}{space 13}5  {c |}{col 17}{res}{space 2} .6386451{col 29}{space 2} .2163207{col 40}{space 1}   -1.32{col 49}{space 3}0.186{col 57}{space 4} .3288079{col 70}{space 3} 1.240443
{txt}{space 13}6  {c |}{col 17}{res}{space 2} .4503147{col 29}{space 2} .2051599{col 40}{space 1}   -1.75{col 49}{space 3}0.080{col 57}{space 4} .1843807{col 70}{space 3} 1.099808
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2} .1557493{col 29}{space 2} .1644614{col 40}{space 1}   -1.76{col 49}{space 3}0.078{col 57}{space 4} .0196613{col 70}{space 3} 1.233789
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}/ln_p {c |}{col 17}{res}{space 2} .1175278{col 29}{space 2} .0162805{col 40}{space 1}    7.22{col 49}{space 3}0.000{col 57}{space 4} .0856186{col 70}{space 3}  .149437
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
              p {c |}{col 17}{res}{space 2} 1.124713{col 29}{space 2} .0183109{col 57}{space 4} 1.089391{col 70}{space 3}  1.16118
{txt}            1/p {c |}{col 17}{res}{space 2} .8891158{col 29}{space 2} .0144753{col 57}{space 4} .8611927{col 70}{space 3} .9179443
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: {bf:_cons} estimates baseline hazard{txt}.{p_end}

{com}. 
. *
. *
. 
. ** CONDITIONAL COEFFICIENT ANALYSIS TESTS: DIRECTION [+] ** 
. 
. * DIFFERENCE BETWEEN DIVIDED AND UNIFIED PARTISAN CONTROL OF SENATE & PRESIDENCY: INTERQUARTILE UNIT CHANGE IN "wSenComm_committee_pres1"  *
. lincomest (committee_pres1 * 0.303 +  1.sendivide#c.committee_pres1 * 0.2483547) - committee_pres1 * 0.303, eform(hr)
{txt}Confidence interval for formula:
{res}(committee_pres1*0.303+1.sendivide#c.committee_pres1*0.2483547)-committee_pres1*0.303

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}          _t{col 14}{c |}         hr{col 26}   Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} 1.767433{col 26}{space 2}  .263803{col 37}{space 1}    3.82{col 46}{space 3}0.000{col 54}{space 4} 1.319152{col 67}{space 3} 2.368053
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. matrix modelF3 = r(table)
{txt}
{com}. mat list modelF3
{res}
{txt}modelF3[9,1]
               (1)
     b {res} 1.7674334
{txt}    se {res}   .263803
{txt}     z {res} 3.8157395
{txt}pvalue {res} .00013578
{txt}    ll {res} 1.3191515
{txt}    ul {res}  2.368053
{txt}    df {res}         .
{txt}  crit {res}  1.959964
{txt} eform {res}         1
{reset}
{com}. *
. *
. *
. 
. 
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. 
. 
. * SENATE COMMITTEE CHAIR PREFERENCE DISTANCE & UNIFIED/DIVIDED PARTISAN CONTROL OF SENATE & PRESIDENCY [MODEL F4: WEIBULL PARAMETRIC MODEL] *
. 
. streg  c.chair_pres1##i.sendivide   pressenfloorabsdist   chair_experience_1  committeestaffsize ln_combills_workload   pres_app_m first90 preselection lameduck   kv_workload  polarization   workload  female priorconfirm denied  x_itier_2 x_itier_3 x_itier_4 defense infrastructure social fvra firstrecess secondrecess policy_majagency  i.kbcom_1  i.presrev,  distribution(weibull)  vce(cluster kbcom_1)

{col 9}{txt}Failure {bf:_d}: {res}confirmbinary
{col 3}{txt}Analysis time {bf:_t}: {res}totconfirmdurplus1

{txt}Fitting constant-only model:
Iteration 0:  Log pseudolikelihood = {res} -13713.83
{txt}Iteration 1:  Log pseudolikelihood = {res}-13713.779
{txt}Iteration 2:  Log pseudolikelihood = {res}-13713.779

{txt}Fitting full model:
{res}{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-13713.779}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-13485.375}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-12553.365}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-12517.667}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-12517.476}  
Iteration 5:{space 2}Log pseudolikelihood = {res:-12517.476}  
{res}
{txt}Weibull PH regression

No. of subjects = {res}{ralign 9:9,879}{col 57}{txt}{lalign 13:Number of obs} = {res}{ralign 6:9,879}
{txt}No. of failures = {res}{ralign 9:7,076}
{txt}Time at risk    = {res}{ralign 9:1,262,926}
{col 57}{txt}{lalign 13:{help j_robustsingular##|_new:Wald chi2(17)}} = {res}{ralign 6:.}
{txt}Log pseudolikelihood = {res}-12517.476{col 57}{txt}{lalign 13:Prob > chi2} = {res}{ralign 6:.}

{txt}{ralign 81:(Std. err. adjusted for {res:20} clusters in {res:kbcom_1})}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}             _t{col 17}{c |} Haz. ratio{col 29}   std. err.{col 41}      z{col 49}   P>|z|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}chair_pres1 {c |}{col 17}{res}{space 2} 1.136836{col 29}{space 2} .3607392{col 40}{space 1}    0.40{col 49}{space 3}0.686{col 57}{space 4} .6103734{col 70}{space 3} 2.117385
{txt}{space 4}1.sendivide {c |}{col 17}{res}{space 2} .3531286{col 29}{space 2} .1128465{col 40}{space 1}   -3.26{col 49}{space 3}0.001{col 57}{space 4} .1887649{col 70}{space 3} .6606093
{txt}{space 15} {c |}
{space 6}sendivide#{c |}
{space 2}c.chair_pres1 {c |}
{space 13}1  {c |}{col 17}{res}{space 2} 2.490432{col 29}{space 2} .8998022{col 40}{space 1}    2.53{col 49}{space 3}0.012{col 57}{space 4} 1.226683{col 70}{space 3} 5.056115
{txt}{space 15} {c |}
pressenfloora~t {c |}{col 17}{res}{space 2} .3275028{col 29}{space 2} .2455381{col 40}{space 1}   -1.49{col 49}{space 3}0.137{col 57}{space 4} .0753434{col 70}{space 3} 1.423589
{txt}chair_experie~1 {c |}{col 17}{res}{space 2} 1.008266{col 29}{space 2} .0025098{col 40}{space 1}    3.31{col 49}{space 3}0.001{col 57}{space 4} 1.003359{col 70}{space 3} 1.013197
{txt}committeestaf~e {c |}{col 17}{res}{space 2} .9942681{col 29}{space 2} .0047016{col 40}{space 1}   -1.22{col 49}{space 3}0.224{col 57}{space 4} .9850958{col 70}{space 3} 1.003526
{txt}ln_combills_w~d {c |}{col 17}{res}{space 2}  .713343{col 29}{space 2} .0798381{col 40}{space 1}   -3.02{col 49}{space 3}0.003{col 57}{space 4}  .572837{col 70}{space 3} .8883126
{txt}{space 5}pres_app_m {c |}{col 17}{res}{space 2} 1.004171{col 29}{space 2} .0023088{col 40}{space 1}    1.81{col 49}{space 3}0.070{col 57}{space 4} .9996556{col 70}{space 3} 1.008706
{txt}{space 8}first90 {c |}{col 17}{res}{space 2} 2.792586{col 29}{space 2} .2745597{col 40}{space 1}   10.45{col 49}{space 3}0.000{col 57}{space 4} 2.303131{col 70}{space 3} 3.386058
{txt}{space 3}preselection {c |}{col 17}{res}{space 2} .8349524{col 29}{space 2} .0551174{col 40}{space 1}   -2.73{col 49}{space 3}0.006{col 57}{space 4} .7336209{col 70}{space 3} .9502804
{txt}{space 7}lameduck {c |}{col 17}{res}{space 2} .8642336{col 29}{space 2} .0914879{col 40}{space 1}   -1.38{col 49}{space 3}0.168{col 57}{space 4} .7023003{col 70}{space 3} 1.063505
{txt}{space 4}kv_workload {c |}{col 17}{res}{space 2} .9999319{col 29}{space 2} .0000311{col 40}{space 1}   -2.19{col 49}{space 3}0.028{col 57}{space 4}  .999871{col 70}{space 3} .9999928
{txt}{space 3}polarization {c |}{col 17}{res}{space 2} .0373527{col 29}{space 2} .0526536{col 40}{space 1}   -2.33{col 49}{space 3}0.020{col 57}{space 4} .0023574{col 70}{space 3} .5918386
{txt}{space 7}workload {c |}{col 17}{res}{space 2} 1.002251{col 29}{space 2} .0014177{col 40}{space 1}    1.59{col 49}{space 3}0.112{col 57}{space 4}  .999476{col 70}{space 3} 1.005033
{txt}{space 9}female {c |}{col 17}{res}{space 2} .9911235{col 29}{space 2}  .051992{col 40}{space 1}   -0.17{col 49}{space 3}0.865{col 57}{space 4} .8942846{col 70}{space 3} 1.098449
{txt}{space 3}priorconfirm {c |}{col 17}{res}{space 2} .9380315{col 29}{space 2}  .065506{col 40}{space 1}   -0.92{col 49}{space 3}0.360{col 57}{space 4}  .818041{col 70}{space 3} 1.075622
{txt}{space 9}denied {c |}{col 17}{res}{space 2} .5274544{col 29}{space 2} .0499169{col 40}{space 1}   -6.76{col 49}{space 3}0.000{col 57}{space 4} .4381568{col 70}{space 3} .6349512
{txt}{space 6}x_itier_2 {c |}{col 17}{res}{space 2} .8772614{col 29}{space 2} .0416911{col 40}{space 1}   -2.76{col 49}{space 3}0.006{col 57}{space 4} .7992385{col 70}{space 3} .9629011
{txt}{space 6}x_itier_3 {c |}{col 17}{res}{space 2}  .732564{col 29}{space 2} .1578786{col 40}{space 1}   -1.44{col 49}{space 3}0.149{col 57}{space 4} .4801741{col 70}{space 3} 1.117615
{txt}{space 6}x_itier_4 {c |}{col 17}{res}{space 2} .7549316{col 29}{space 2} .0909833{col 40}{space 1}   -2.33{col 49}{space 3}0.020{col 57}{space 4} .5961039{col 70}{space 3} .9560778
{txt}{space 8}defense {c |}{col 17}{res}{space 2} 1.046802{col 29}{space 2} .0994738{col 40}{space 1}    0.48{col 49}{space 3}0.630{col 57}{space 4}  .868916{col 70}{space 3} 1.261105
{txt}{space 1}infrastructure {c |}{col 17}{res}{space 2} .9151928{col 29}{space 2} .0955514{col 40}{space 1}   -0.85{col 49}{space 3}0.396{col 57}{space 4} .7458341{col 70}{space 3} 1.123008
{txt}{space 9}social {c |}{col 17}{res}{space 2} .9557609{col 29}{space 2} .0840201{col 40}{space 1}   -0.51{col 49}{space 3}0.607{col 57}{space 4} .8044904{col 70}{space 3} 1.135475
{txt}{space 11}fvra {c |}{col 17}{res}{space 2}  1.17163{col 29}{space 2} .0973696{col 40}{space 1}    1.91{col 49}{space 3}0.057{col 57}{space 4}  .995521{col 70}{space 3} 1.378893
{txt}{space 4}firstrecess {c |}{col 17}{res}{space 2} 1.063337{col 29}{space 2} .0464295{col 40}{space 1}    1.41{col 49}{space 3}0.160{col 57}{space 4} .9761224{col 70}{space 3} 1.158345
{txt}{space 3}secondrecess {c |}{col 17}{res}{space 2} .8488453{col 29}{space 2} .0727386{col 40}{space 1}   -1.91{col 49}{space 3}0.056{col 57}{space 4} .7176093{col 70}{space 3} 1.004082
{txt}policy_majage~y {c |}{col 17}{res}{space 2} 1.309864{col 29}{space 2} .1062785{col 40}{space 1}    3.33{col 49}{space 3}0.001{col 57}{space 4}  1.11728{col 70}{space 3} 1.535642
{txt}{space 15} {c |}
{space 8}kbcom_1 {c |}
{space 13}2  {c |}{col 17}{res}{space 2} .9072662{col 29}{space 2} .1113913{col 40}{space 1}   -0.79{col 49}{space 3}0.428{col 57}{space 4} .7132255{col 70}{space 3} 1.154098
{txt}{space 13}3  {c |}{col 17}{res}{space 2}  .955969{col 29}{space 2} .0795157{col 40}{space 1}   -0.54{col 49}{space 3}0.588{col 57}{space 4} .8121616{col 70}{space 3}  1.12524
{txt}{space 13}4  {c |}{col 17}{res}{space 2} 1.290966{col 29}{space 2} .2072847{col 40}{space 1}    1.59{col 49}{space 3}0.112{col 57}{space 4} .9424129{col 70}{space 3} 1.768433
{txt}{space 13}5  {c |}{col 17}{res}{space 2} 1.372683{col 29}{space 2} .2428595{col 40}{space 1}    1.79{col 49}{space 3}0.073{col 57}{space 4} .9704499{col 70}{space 3} 1.941635
{txt}{space 13}6  {c |}{col 17}{res}{space 2} 1.693635{col 29}{space 2} .2659042{col 40}{space 1}    3.36{col 49}{space 3}0.001{col 57}{space 4} 1.245029{col 70}{space 3} 2.303882
{txt}{space 13}7  {c |}{col 17}{res}{space 2} 1.281072{col 29}{space 2} .1515576{col 40}{space 1}    2.09{col 49}{space 3}0.036{col 57}{space 4} 1.015948{col 70}{space 3} 1.615381
{txt}{space 13}8  {c |}{col 17}{res}{space 2} 1.442964{col 29}{space 2} .4597659{col 40}{space 1}    1.15{col 49}{space 3}0.250{col 57}{space 4} .7727529{col 70}{space 3} 2.694452
{txt}{space 13}9  {c |}{col 17}{res}{space 2} 1.014454{col 29}{space 2} .1470826{col 40}{space 1}    0.10{col 49}{space 3}0.921{col 57}{space 4} .7635174{col 70}{space 3} 1.347862
{txt}{space 12}10  {c |}{col 17}{res}{space 2} .8104168{col 29}{space 2} .2238022{col 40}{space 1}   -0.76{col 49}{space 3}0.447{col 57}{space 4} .4716755{col 70}{space 3} 1.392431
{txt}{space 12}11  {c |}{col 17}{res}{space 2} 1.607763{col 29}{space 2}  .460681{col 40}{space 1}    1.66{col 49}{space 3}0.097{col 57}{space 4} .9169019{col 70}{space 3} 2.819171
{txt}{space 12}12  {c |}{col 17}{res}{space 2} 1.214314{col 29}{space 2} .4761403{col 40}{space 1}    0.50{col 49}{space 3}0.620{col 57}{space 4} .5630794{col 70}{space 3} 2.618742
{txt}{space 12}13  {c |}{col 17}{res}{space 2} .8150594{col 29}{space 2} .0974443{col 40}{space 1}   -1.71{col 49}{space 3}0.087{col 57}{space 4} .6447984{col 70}{space 3} 1.030278
{txt}{space 12}14  {c |}{col 17}{res}{space 2} .6300146{col 29}{space 2} .1702387{col 40}{space 1}   -1.71{col 49}{space 3}0.087{col 57}{space 4} .3709745{col 70}{space 3} 1.069934
{txt}{space 12}15  {c |}{col 17}{res}{space 2} 2.144142{col 29}{space 2} .9302403{col 40}{space 1}    1.76{col 49}{space 3}0.079{col 57}{space 4} .9161319{col 70}{space 3} 5.018213
{txt}{space 12}16  {c |}{col 17}{res}{space 2} 1.375576{col 29}{space 2} .4627214{col 40}{space 1}    0.95{col 49}{space 3}0.343{col 57}{space 4} .7114661{col 70}{space 3} 2.659592
{txt}{space 12}17  {c |}{col 17}{res}{space 2} .6497578{col 29}{space 2} .1177065{col 40}{space 1}   -2.38{col 49}{space 3}0.017{col 57}{space 4} .4555673{col 70}{space 3} .9267242
{txt}{space 12}18  {c |}{col 17}{res}{space 2}  .411154{col 29}{space 2} .1115768{col 40}{space 1}   -3.28{col 49}{space 3}0.001{col 57}{space 4} .2415516{col 70}{space 3} .6998404
{txt}{space 12}19  {c |}{col 17}{res}{space 2} .4472843{col 29}{space 2} .0556771{col 40}{space 1}   -6.46{col 49}{space 3}0.000{col 57}{space 4} .3504514{col 70}{space 3} .5708731
{txt}{space 12}20  {c |}{col 17}{res}{space 2} 1.030066{col 29}{space 2} .1175846{col 40}{space 1}    0.26{col 49}{space 3}0.795{col 57}{space 4} .8235656{col 70}{space 3} 1.288344
{txt}{space 15} {c |}
{space 8}presrev {c |}
{space 13}2  {c |}{col 17}{res}{space 2} 1.726344{col 29}{space 2} .3505681{col 40}{space 1}    2.69{col 49}{space 3}0.007{col 57}{space 4} 1.159509{col 70}{space 3} 2.570281
{txt}{space 13}3  {c |}{col 17}{res}{space 2} 1.126088{col 29}{space 2}  .333307{col 40}{space 1}    0.40{col 49}{space 3}0.688{col 57}{space 4} .6304172{col 70}{space 3} 2.011484
{txt}{space 13}4  {c |}{col 17}{res}{space 2} 1.124344{col 29}{space 2} .3081485{col 40}{space 1}    0.43{col 49}{space 3}0.669{col 57}{space 4} .6570682{col 70}{space 3} 1.923923
{txt}{space 13}5  {c |}{col 17}{res}{space 2} .7163418{col 29}{space 2}  .266222{col 40}{space 1}   -0.90{col 49}{space 3}0.369{col 57}{space 4} .3457633{col 70}{space 3} 1.484095
{txt}{space 13}6  {c |}{col 17}{res}{space 2} .6446211{col 29}{space 2} .2526038{col 40}{space 1}   -1.12{col 49}{space 3}0.262{col 57}{space 4} .2990538{col 70}{space 3} 1.389504
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2} .4158108{col 29}{space 2}  .439237{col 40}{space 1}   -0.83{col 49}{space 3}0.406{col 57}{space 4} .0524492{col 70}{space 3} 3.296498
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}/ln_p {c |}{col 17}{res}{space 2} .1190573{col 29}{space 2}  .013483{col 40}{space 1}    8.83{col 49}{space 3}0.000{col 57}{space 4} .0926311{col 70}{space 3} .1454836
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
              p {c |}{col 17}{res}{space 2} 1.126434{col 29}{space 2} .0151877{col 57}{space 4} 1.097057{col 70}{space 3} 1.156599
{txt}            1/p {c |}{col 17}{res}{space 2} .8877569{col 29}{space 2} .0119697{col 57}{space 4} .8646041{col 70}{space 3} .9115297
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: {bf:_cons} estimates baseline hazard{txt}.{p_end}

{com}. *
. *
. 
. ** CONDITIONAL COEFFICIENT ANALYSIS TESTS: DIRECTION [+] ** 
. 
. * DIFFERENCE BETWEEN DIVIDED AND UNIFIED PARTISAN CONTROL OF SENATE & PRESIDENCY: INTERQUARTILE UNIT CHANGE IN "wSenComm_chair_pres1" *
. lincomest (chair_pres1 * 0.2724212 +  1.sendivide#c.chair_pres1 * 0.2364347) - chair_pres1 * 0.2724212, eform(hr)
{txt}Confidence interval for formula:
{res}(chair_pres1*0.2724212+1.sendivide#c.chair_pres1*0.2364347)-chair_pres1*0.2724212

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}          _t{col 14}{c |}         hr{col 26}   Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} 1.240775{col 26}{space 2} .1059929{col 37}{space 1}    2.53{col 46}{space 3}0.012{col 54}{space 4} 1.049493{col 67}{space 3} 1.466921
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. matrix modelF4 = r(table)
{txt}
{com}. mat list modelF4
{res}
{txt}modelF4[9,1]
               (1)
     b {res} 1.2407752
{txt}    se {res} .10599287
{txt}     z {res} 2.5254552
{txt}pvalue {res} .01155485
{txt}    ll {res} 1.0494927
{txt}    ul {res} 1.4669211
{txt}    df {res}         .
{txt}  crit {res}  1.959964
{txt} eform {res}         1
{reset}
{com}. *
. *
. *
. 
. 
. *** CREATE FIGURE F1 BASED ON MODELS F1-F4 ****
. 
. **** FIGURE F1 ****
. 
. matrix A = J(4, 3, .)
{txt}
{com}. matrix coln A = Point ll95 ul95
{txt}
{com}. matrix rown A = 1 2 3 4
{txt}
{com}. 
. matrix A[1,1] = modelF1[1,1]
{txt}
{com}. matrix A[1,2] = modelF1[5,1]
{txt}
{com}. matrix A[1,3] = modelF1[6,1]
{txt}
{com}. 
. matrix A[2,1] = modelF2[1,1]
{txt}
{com}. matrix A[2,2] = modelF2[5,1]
{txt}
{com}. matrix A[2,3] = modelF2[6,1]
{txt}
{com}. 
. matrix A[3,1] = modelF3[1,1]
{txt}
{com}. matrix A[3,2] = modelF3[5,1]
{txt}
{com}. matrix A[3,3] = modelF3[6,1]
{txt}
{com}. 
. matrix A[4,1] = modelF4[1,1]
{txt}
{com}. matrix A[4,2] = modelF4[5,1]
{txt}
{com}. matrix A[4,3] = modelF4[6,1]
{txt}
{com}. 
. 
. **********
. coefplot (matrix(A[,1]), ci((2 3))), grid(none) xline(1, lcolor(red%40) lpattern(dash)) xtitle("Hazard Ratio", size(small) margin(t=2)) ylabel(1 "Model F1" 2 "Model F2" 3 "Model F3" 4 "Model F4", labsize(small) noticks) mlabel format(%9.3f) mlabposition(12) mlabsize(vsmall) xlabel(0(1)2, angle(0) labsize(small) format(%9.1f)) msymbol(o) mcolor(black) msize(small) title("FIGURE F1", size(med)) ciopts(lcolor(black)) legend(off) subtitle("Differential Partisan Control Effects of Committee-President Ideological Distance" "(Total Confirmation Delay)", size(small))
{res}{p 0 4 2}
{txt}(note:  named style
med not found in class
gsize,  default attributes used)
{p_end}
{res}{txt}
{com}. 
. 
. graph save "Graph" "/Users/jasonbyers/Dropbox/Jason Byers/Co-Authored Projects/Projects with George Krause/Krause Projects/Confirmation Dynamics Project/Confirmation Delay & Senate Committees/2023 Version/Fall 2024/Statistics/Graphics/Appendix F/FigureF1.gph", replace
{res}{txt}file {bf:/Users/jasonbyers/Dropbox/Jason Byers/Co-Authored Projects/Projects with George Krause/Krause Projects/Confirmation Dynamics Project/Confirmation Delay & Senate Committees/2023 Version/Fall 2024/Statistics/Graphics/Appendix F/FigureF1.gph} saved

{com}.  
.  
.  
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
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. 
. 
. 
. *** SET SURVICAL TIME FUNCTION [STSET] OUTCOME DURATION FOR SENATE FLOOR STAGE CONFIRMATON DELAY
. 
. 
. stset polvetdur2plus1, failure(confirmbinary)

{txt}Survival-time data settings

{col 10}Failure event: {res}confirmbinary!=0 & confirmbinary<.
{col 1}{txt}Observed time interval: {res}(0, polvetdur2plus1]
{col 6}{txt}Exit on or before: {res}failure

{txt}{hline 74}
{res}     10,354{txt}  total observations
{res}        244{txt}  event time missing (polvetdur2plus1>=.){col 61}PROBABLE ERROR
{hline 74}
{res}     10,110{txt}  observations remaining, representing
{res}      7,166{txt}  failures in single-record/single-failure data
{res}    335,532{txt}  total analysis time at risk and under observation
                                                At risk from t = {res}        0
                                     {txt}Earliest observed entry t = {res}        0
                                          {txt}Last observed exit t = {res}      732
{txt}
{com}. 
. 
. 
. 
. 
. 
. *** EVALUATING THE PARTISAN SELECTIVE [SENATE FLOOR STAGE CONFIRMATON DELAY] DELAY HYPOTHESIS: FIRST SET OF ANALYSES ON FULL SAMPLE OF EXECUTIVE NOMINEES [N = 9,879] ***
. 
. 
. 
. * SENATE COMMITTEE MEDIAN PREFERENCE DISTANCE & UNIFIED/DIVIDED PARTISAN CONTROL OF SENATE & PRESIDENCY [MODEL F5: COX SEMIPARAMETRIC MODEL] *
. 
. stcox  c.committee_pres1##i.sendivide  pressenfloorabsdist   experience_median  committeestaffsize ln_combills_workload   pres_app_m first90 preselection lameduck   kv_workload  polarization   workload  female priorconfirm denied  x_itier_2 x_itier_3 x_itier_4 defense infrastructure social fvra firstrecess secondrecess policy_majagency i.kbcom_1 i.presrev,  vce(cluster kbcom_1)

{col 9}{txt}Failure {bf:_d}: {res}confirmbinary
{col 3}{txt}Analysis time {bf:_t}: {res}polvetdur2plus1

{txt}Iteration 0:  Log pseudolikelihood = {res}-57643.341
{txt}Iteration 1:  Log pseudolikelihood = {res}-56667.121
{txt}Iteration 2:  Log pseudolikelihood = {res}-56541.328
{txt}Iteration 3:  Log pseudolikelihood = {res}-56540.174
{txt}Iteration 4:  Log pseudolikelihood = {res}-56540.174
{txt}Refining estimates:
Iteration 0:  Log pseudolikelihood = {res}-56540.174

{txt}Cox regression with Breslow method for ties

No. of subjects = {res}{ralign 7:9,879}{col 55}{txt}{lalign 13:Number of obs} = {res}{ralign 8:9,879}
{txt}No. of failures = {res}{ralign 7:7,076}
{txt}Time at risk    = {res}{ralign 7:284,994}
{col 55}{txt}{lalign 13:Wald chi2({res:19})} = {res}{ralign 8:29203.02}
{txt}Log pseudolikelihood = {res}-56540.174{col 55}{txt}{lalign 13:Prob > chi2} = {res}{ralign 8:0.0000}

{txt}{ralign 81:(Std. err. adjusted for {res:20} clusters in {res:kbcom_1})}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}             _t{col 17}{c |} Haz. ratio{col 29}   std. err.{col 41}      z{col 49}   P>|z|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
committee_pres1 {c |}{col 17}{res}{space 2} .8222459{col 29}{space 2} .3870183{col 40}{space 1}   -0.42{col 49}{space 3}0.678{col 57}{space 4} .3268545{col 70}{space 3} 2.068469
{txt}{space 4}1.sendivide {c |}{col 17}{res}{space 2}  .265087{col 29}{space 2} .1018255{col 40}{space 1}   -3.46{col 49}{space 3}0.001{col 57}{space 4} .1248602{col 70}{space 3} .5627984
{txt}{space 15} {c |}
{space 6}sendivide#{c |}
{space 13}c. {c |}
committee_pres1 {c |}
{space 13}1  {c |}{col 17}{res}{space 2} 4.785713{col 29}{space 2} 2.516695{col 40}{space 1}    2.98{col 49}{space 3}0.003{col 57}{space 4} 1.707338{col 70}{space 3} 13.41447
{txt}{space 15} {c |}
pressenfloora~t {c |}{col 17}{res}{space 2} .7702654{col 29}{space 2} .5496741{col 40}{space 1}   -0.37{col 49}{space 3}0.715{col 57}{space 4} .1901993{col 70}{space 3} 3.119405
{txt}experience_me~n {c |}{col 17}{res}{space 2} 1.010907{col 29}{space 2} .0091068{col 40}{space 1}    1.20{col 49}{space 3}0.229{col 57}{space 4} .9932147{col 70}{space 3} 1.028915
{txt}committeestaf~e {c |}{col 17}{res}{space 2} .9978679{col 29}{space 2} .0021228{col 40}{space 1}   -1.00{col 49}{space 3}0.316{col 57}{space 4}  .993716{col 70}{space 3} 1.002037
{txt}ln_combills_w~d {c |}{col 17}{res}{space 2} .7348521{col 29}{space 2}  .101741{col 40}{space 1}   -2.23{col 49}{space 3}0.026{col 57}{space 4} .5602093{col 70}{space 3} .9639392
{txt}{space 5}pres_app_m {c |}{col 17}{res}{space 2} 1.004503{col 29}{space 2}  .002041{col 40}{space 1}    2.21{col 49}{space 3}0.027{col 57}{space 4} 1.000511{col 70}{space 3} 1.008511
{txt}{space 8}first90 {c |}{col 17}{res}{space 2} 1.776874{col 29}{space 2} .1819676{col 40}{space 1}    5.61{col 49}{space 3}0.000{col 57}{space 4} 1.453738{col 70}{space 3} 2.171837
{txt}{space 3}preselection {c |}{col 17}{res}{space 2} .7681956{col 29}{space 2} .0447429{col 40}{space 1}   -4.53{col 49}{space 3}0.000{col 57}{space 4} .6853214{col 70}{space 3} .8610916
{txt}{space 7}lameduck {c |}{col 17}{res}{space 2} .9326725{col 29}{space 2}  .075933{col 40}{space 1}   -0.86{col 49}{space 3}0.392{col 57}{space 4} .7951134{col 70}{space 3}  1.09403
{txt}{space 4}kv_workload {c |}{col 17}{res}{space 2} .9999552{col 29}{space 2} .0000301{col 40}{space 1}   -1.49{col 49}{space 3}0.137{col 57}{space 4} .9998962{col 70}{space 3} 1.000014
{txt}{space 3}polarization {c |}{col 17}{res}{space 2} 44.23248{col 29}{space 2} 42.83347{col 40}{space 1}    3.91{col 49}{space 3}0.000{col 57}{space 4} 6.629215{col 70}{space 3} 295.1349
{txt}{space 7}workload {c |}{col 17}{res}{space 2} 1.000289{col 29}{space 2} .0005907{col 40}{space 1}    0.49{col 49}{space 3}0.625{col 57}{space 4} .9991315{col 70}{space 3} 1.001447
{txt}{space 9}female {c |}{col 17}{res}{space 2} .9914601{col 29}{space 2} .0439565{col 40}{space 1}   -0.19{col 49}{space 3}0.847{col 57}{space 4}  .908944{col 70}{space 3} 1.081467
{txt}{space 3}priorconfirm {c |}{col 17}{res}{space 2} .9752966{col 29}{space 2} .0493898{col 40}{space 1}   -0.49{col 49}{space 3}0.621{col 57}{space 4} .8831433{col 70}{space 3} 1.077066
{txt}{space 9}denied {c |}{col 17}{res}{space 2} .6251359{col 29}{space 2} .0544999{col 40}{space 1}   -5.39{col 49}{space 3}0.000{col 57}{space 4} .5269458{col 70}{space 3} .7416226
{txt}{space 6}x_itier_2 {c |}{col 17}{res}{space 2} .8914201{col 29}{space 2} .0501627{col 40}{space 1}   -2.04{col 49}{space 3}0.041{col 57}{space 4}  .798331{col 70}{space 3} .9953639
{txt}{space 6}x_itier_3 {c |}{col 17}{res}{space 2} .9167249{col 29}{space 2} .1296317{col 40}{space 1}   -0.61{col 49}{space 3}0.539{col 57}{space 4} .6948209{col 70}{space 3} 1.209498
{txt}{space 6}x_itier_4 {c |}{col 17}{res}{space 2} .9404119{col 29}{space 2} .0617926{col 40}{space 1}   -0.94{col 49}{space 3}0.350{col 57}{space 4}  .826775{col 70}{space 3} 1.069668
{txt}{space 8}defense {c |}{col 17}{res}{space 2} 1.181571{col 29}{space 2} .0840088{col 40}{space 1}    2.35{col 49}{space 3}0.019{col 57}{space 4} 1.027875{col 70}{space 3}  1.35825
{txt}{space 1}infrastructure {c |}{col 17}{res}{space 2} .9252849{col 29}{space 2}  .058401{col 40}{space 1}   -1.23{col 49}{space 3}0.219{col 57}{space 4} .8176178{col 70}{space 3}  1.04713
{txt}{space 9}social {c |}{col 17}{res}{space 2} .9542262{col 29}{space 2} .0484071{col 40}{space 1}   -0.92{col 49}{space 3}0.356{col 57}{space 4} .8639142{col 70}{space 3} 1.053979
{txt}{space 11}fvra {c |}{col 17}{res}{space 2}  1.04297{col 29}{space 2} .0526153{col 40}{space 1}    0.83{col 49}{space 3}0.404{col 57}{space 4} .9447803{col 70}{space 3} 1.151365
{txt}{space 4}firstrecess {c |}{col 17}{res}{space 2}  .997636{col 29}{space 2} .0377435{col 40}{space 1}   -0.06{col 49}{space 3}0.950{col 57}{space 4} .9263363{col 70}{space 3} 1.074424
{txt}{space 3}secondrecess {c |}{col 17}{res}{space 2} .9426934{col 29}{space 2} .0406494{col 40}{space 1}   -1.37{col 49}{space 3}0.171{col 57}{space 4} .8662959{col 70}{space 3} 1.025828
{txt}policy_majage~y {c |}{col 17}{res}{space 2} 1.037417{col 29}{space 2} .0505357{col 40}{space 1}    0.75{col 49}{space 3}0.451{col 57}{space 4}   .94295{col 70}{space 3} 1.141347
{txt}{space 15} {c |}
{space 8}kbcom_1 {c |}
{space 13}2  {c |}{col 17}{res}{space 2} 1.141427{col 29}{space 2} .0884774{col 40}{space 1}    1.71{col 49}{space 3}0.088{col 57}{space 4} .9805452{col 70}{space 3} 1.328706
{txt}{space 13}3  {c |}{col 17}{res}{space 2} 1.119145{col 29}{space 2}  .079191{col 40}{space 1}    1.59{col 49}{space 3}0.112{col 57}{space 4} .9742153{col 70}{space 3} 1.285634
{txt}{space 13}4  {c |}{col 17}{res}{space 2} .7515774{col 29}{space 2}  .138887{col 40}{space 1}   -1.55{col 49}{space 3}0.122{col 57}{space 4} .5232109{col 70}{space 3} 1.079619
{txt}{space 13}5  {c |}{col 17}{res}{space 2} 1.337709{col 29}{space 2}  .204829{col 40}{space 1}    1.90{col 49}{space 3}0.057{col 57}{space 4} .9908919{col 70}{space 3} 1.805914
{txt}{space 13}6  {c |}{col 17}{res}{space 2} 1.135833{col 29}{space 2} .1933344{col 40}{space 1}    0.75{col 49}{space 3}0.454{col 57}{space 4} .8136324{col 70}{space 3} 1.585626
{txt}{space 13}7  {c |}{col 17}{res}{space 2} 1.092817{col 29}{space 2} .1218427{col 40}{space 1}    0.80{col 49}{space 3}0.426{col 57}{space 4} .8783013{col 70}{space 3} 1.359726
{txt}{space 13}8  {c |}{col 17}{res}{space 2}  1.69136{col 29}{space 2} .5287086{col 40}{space 1}    1.68{col 49}{space 3}0.093{col 57}{space 4} .9165493{col 70}{space 3} 3.121162
{txt}{space 13}9  {c |}{col 17}{res}{space 2} 1.200424{col 29}{space 2} .1440843{col 40}{space 1}    1.52{col 49}{space 3}0.128{col 57}{space 4} .9487828{col 70}{space 3} 1.518807
{txt}{space 12}10  {c |}{col 17}{res}{space 2} 1.337268{col 29}{space 2} .2329438{col 40}{space 1}    1.67{col 49}{space 3}0.095{col 57}{space 4} .9504835{col 70}{space 3} 1.881449
{txt}{space 12}11  {c |}{col 17}{res}{space 2} 1.862801{col 29}{space 2} .4519204{col 40}{space 1}    2.56{col 49}{space 3}0.010{col 57}{space 4} 1.157877{col 70}{space 3} 2.996885
{txt}{space 12}12  {c |}{col 17}{res}{space 2}  1.11459{col 29}{space 2}  .255978{col 40}{space 1}    0.47{col 49}{space 3}0.637{col 57}{space 4} .7106033{col 70}{space 3} 1.748248
{txt}{space 12}13  {c |}{col 17}{res}{space 2} .8774798{col 29}{space 2} .0890743{col 40}{space 1}   -1.29{col 49}{space 3}0.198{col 57}{space 4} .7191679{col 70}{space 3} 1.070641
{txt}{space 12}14  {c |}{col 17}{res}{space 2} .5063072{col 29}{space 2} .1646328{col 40}{space 1}   -2.09{col 49}{space 3}0.036{col 57}{space 4} .2676912{col 70}{space 3} .9576218
{txt}{space 12}15  {c |}{col 17}{res}{space 2} 2.108892{col 29}{space 2} .6413342{col 40}{space 1}    2.45{col 49}{space 3}0.014{col 57}{space 4} 1.161972{col 70}{space 3} 3.827479
{txt}{space 12}16  {c |}{col 17}{res}{space 2} 1.394561{col 29}{space 2}  .308011{col 40}{space 1}    1.51{col 49}{space 3}0.132{col 57}{space 4} .9045578{col 70}{space 3} 2.150003
{txt}{space 12}17  {c |}{col 17}{res}{space 2} .8319526{col 29}{space 2} .0868032{col 40}{space 1}   -1.76{col 49}{space 3}0.078{col 57}{space 4} .6780895{col 70}{space 3} 1.020728
{txt}{space 12}18  {c |}{col 17}{res}{space 2} .6384329{col 29}{space 2} .1850183{col 40}{space 1}   -1.55{col 49}{space 3}0.122{col 57}{space 4} .3617732{col 70}{space 3} 1.126663
{txt}{space 12}19  {c |}{col 17}{res}{space 2} .5705535{col 29}{space 2} .0911241{col 40}{space 1}   -3.51{col 49}{space 3}0.000{col 57}{space 4}  .417205{col 70}{space 3} .7802669
{txt}{space 12}20  {c |}{col 17}{res}{space 2} 1.208784{col 29}{space 2} .0574707{col 40}{space 1}    3.99{col 49}{space 3}0.000{col 57}{space 4} 1.101233{col 70}{space 3}  1.32684
{txt}{space 15} {c |}
{space 8}presrev {c |}
{space 13}2  {c |}{col 17}{res}{space 2} 1.341406{col 29}{space 2} .2360578{col 40}{space 1}    1.67{col 49}{space 3}0.095{col 57}{space 4} .9500958{col 70}{space 3} 1.893882
{txt}{space 13}3  {c |}{col 17}{res}{space 2} .3857817{col 29}{space 2} .0888142{col 40}{space 1}   -4.14{col 49}{space 3}0.000{col 57}{space 4} .2456852{col 70}{space 3} .6057652
{txt}{space 13}4  {c |}{col 17}{res}{space 2} .2891086{col 29}{space 2} .0586701{col 40}{space 1}   -6.12{col 49}{space 3}0.000{col 57}{space 4} .1942329{col 70}{space 3} .4303276
{txt}{space 13}5  {c |}{col 17}{res}{space 2} .1079225{col 29}{space 2} .0349107{col 40}{space 1}   -6.88{col 49}{space 3}0.000{col 57}{space 4} .0572487{col 70}{space 3} .2034504
{txt}{space 13}6  {c |}{col 17}{res}{space 2} .0841748{col 29}{space 2} .0328427{col 40}{space 1}   -6.34{col 49}{space 3}0.000{col 57}{space 4} .0391801{col 70}{space 3} .1808414
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *
. *
. 
. * DESCRIPTIVE STATISTICS FOR EACH PARTISAN CONTROL REGIME *
. sum wSenComm_committee_pres1 if e(sample) & sendivide==0, detail

                  {txt}wSenComm_committee_pres1
{hline 61}
      Percentiles      Smallest
 1%    {res}-.5386078      -.5386078
{txt} 5%    {res}-.4312148      -.5386078
{txt}10%    {res} -.412061      -.5386078       {txt}Obs         {res}      5,188
{txt}25%    {res}-.3654062      -.5386078       {txt}Sum of wgt. {res}      5,188

{txt}50%    {res}-.2720448                      {txt}Mean          {res}-.1849183
                        {txt}Largest       Std. dev.     {res} .2315506
{txt}75%    {res}-.0624062        .490939
{txt}90%    {res} .1603195        .490939       {txt}Variance      {res} .0536157
{txt}95%    {res} .2121217        .490939       {txt}Skewness      {res} .7437833
{txt}99%    {res} .4655938        .490939       {txt}Kurtosis      {res} 2.725898
{txt}
{com}. sum wSenComm_committee_pres1 if e(sample) & sendivide==1, detail

                  {txt}wSenComm_committee_pres1
{hline 61}
      Percentiles      Smallest
 1%    {res}-.1966079      -.5386078
{txt} 5%    {res}-.1966079      -.2916805
{txt}10%    {res}-.0414062      -.2201461       {txt}Obs         {res}      4,691
{txt}25%    {res} .0904305      -.1966079       {txt}Sum of wgt. {res}      4,691

{txt}50%    {res} .2273195                      {txt}Mean          {res}  .208086
                        {txt}Largest       Std. dev.     {res} .1784988
{txt}75%    {res} .3387852        .490939
{txt}90%    {res} .4655938        .490939       {txt}Variance      {res} .0318618
{txt}95%    {res} .4706168        .490939       {txt}Skewness      {res}-.4131515
{txt}99%    {res}  .490939        .676923       {txt}Kurtosis      {res} 2.718282
{txt}
{com}. 
. ** CONDITIONAL COEFFICIENT ANALYSIS TESTS: DIRECTION [+] ** 
. 
. * DIFFERENCE BETWEEN DIVIDED AND UNIFIED PARTISAN CONTROL OF SENATE & PRESIDENCY: INTERQUARTILE UNIT CHANGE IN "wSenComm_committee_pres1"  *
. lincomest (committee_pres1 * 0.303 +  1.sendivide#c.committee_pres1 * 0.2483547) - committee_pres1 * 0.303, eform(hr)
{txt}Confidence interval for formula:
{res}(committee_pres1*0.303+1.sendivide#c.committee_pres1*0.2483547)-committee_pres1*0.303

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}          _t{col 14}{c |}         hr{col 26}   Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} 1.475258{col 26}{space 2} .1926745{col 37}{space 1}    2.98{col 46}{space 3}0.003{col 54}{space 4} 1.142083{col 67}{space 3} 1.905628
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. matrix modelF5 = r(table)
{txt}
{com}. mat list modelF5
{res}
{txt}modelF5[9,1]
               (1)
     b {res} 1.4752579
{txt}    se {res} .19267449
{txt}     z {res} 2.9771905
{txt}pvalue {res} .00290903
{txt}    ll {res}  1.142083
{txt}    ul {res} 1.9056284
{txt}    df {res}         .
{txt}  crit {res}  1.959964
{txt} eform {res}         1
{reset}
{com}. *
. *
. *
. 
. 
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. 
. 
. * SENATE COMMITTEE CHAIR PREFERENCE DISTANCE & UNIFIED/DIVIDED PARTISAN CONTROL OF SENATE & PRESIDENCY [MODEL F6: COX SEMIPARAMETRIC MODEL] *
. 
. stcox  c.chair_pres1##i.sendivide  pressenfloorabsdist   chair_experience_1  committeestaffsize ln_combills_workload   pres_app_m first90 preselection lameduck   kv_workload  polarization   workload  female priorconfirm denied  x_itier_2 x_itier_3 x_itier_4 defense infrastructure social fvra firstrecess secondrecess policy_majagency  i.kbcom_1 i.presrev,  vce(cluster kbcom_1)

{col 9}{txt}Failure {bf:_d}: {res}confirmbinary
{col 3}{txt}Analysis time {bf:_t}: {res}polvetdur2plus1

{txt}Iteration 0:  Log pseudolikelihood = {res}-57643.341
{txt}Iteration 1:  Log pseudolikelihood = {res} -56641.21
{txt}Iteration 2:  Log pseudolikelihood = {res}-56509.898
{txt}Iteration 3:  Log pseudolikelihood = {res}-56508.804
{txt}Iteration 4:  Log pseudolikelihood = {res}-56508.803
{txt}Refining estimates:
Iteration 0:  Log pseudolikelihood = {res}-56508.803

{txt}Cox regression with Breslow method for ties

No. of subjects = {res}{ralign 7:9,879}{col 55}{txt}{lalign 13:Number of obs} = {res}{ralign 8:9,879}
{txt}No. of failures = {res}{ralign 7:7,076}
{txt}Time at risk    = {res}{ralign 7:284,994}
{col 55}{txt}{lalign 13:Wald chi2({res:19})} = {res}{ralign 8:46251.45}
{txt}Log pseudolikelihood = {res}-56508.803{col 55}{txt}{lalign 13:Prob > chi2} = {res}{ralign 8:0.0000}

{txt}{ralign 81:(Std. err. adjusted for {res:20} clusters in {res:kbcom_1})}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}             _t{col 17}{c |} Haz. ratio{col 29}   std. err.{col 41}      z{col 49}   P>|z|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}chair_pres1 {c |}{col 17}{res}{space 2} 1.887209{col 29}{space 2} .4159685{col 40}{space 1}    2.88{col 49}{space 3}0.004{col 57}{space 4} 1.225188{col 70}{space 3} 2.906948
{txt}{space 4}1.sendivide {c |}{col 17}{res}{space 2} .5035847{col 29}{space 2} .0910997{col 40}{space 1}   -3.79{col 49}{space 3}0.000{col 57}{space 4} .3532549{col 70}{space 3} .7178884
{txt}{space 15} {c |}
{space 6}sendivide#{c |}
{space 2}c.chair_pres1 {c |}
{space 13}1  {c |}{col 17}{res}{space 2} 1.303466{col 29}{space 2} .3122473{col 40}{space 1}    1.11{col 49}{space 3}0.269{col 57}{space 4} .8150666{col 70}{space 3} 2.084522
{txt}{space 15} {c |}
pressenfloora~t {c |}{col 17}{res}{space 2} .2882922{col 29}{space 2} .1889457{col 40}{space 1}   -1.90{col 49}{space 3}0.058{col 57}{space 4} .0797918{col 70}{space 3} 1.041616
{txt}chair_experie~1 {c |}{col 17}{res}{space 2} 1.011438{col 29}{space 2} .0032088{col 40}{space 1}    3.58{col 49}{space 3}0.000{col 57}{space 4} 1.005169{col 70}{space 3} 1.017747
{txt}committeestaf~e {c |}{col 17}{res}{space 2} .9988601{col 29}{space 2} .0022632{col 40}{space 1}   -0.50{col 49}{space 3}0.615{col 57}{space 4} .9944342{col 70}{space 3} 1.003306
{txt}ln_combills_w~d {c |}{col 17}{res}{space 2} .7228131{col 29}{space 2} .0712443{col 40}{space 1}   -3.29{col 49}{space 3}0.001{col 57}{space 4} .5958364{col 70}{space 3} .8768494
{txt}{space 5}pres_app_m {c |}{col 17}{res}{space 2} 1.003989{col 29}{space 2} .0022089{col 40}{space 1}    1.81{col 49}{space 3}0.070{col 57}{space 4}  .999669{col 70}{space 3} 1.008328
{txt}{space 8}first90 {c |}{col 17}{res}{space 2} 1.715833{col 29}{space 2} .1739175{col 40}{space 1}    5.33{col 49}{space 3}0.000{col 57}{space 4} 1.406686{col 70}{space 3} 2.092923
{txt}{space 3}preselection {c |}{col 17}{res}{space 2} .7803746{col 29}{space 2} .0489097{col 40}{space 1}   -3.96{col 49}{space 3}0.000{col 57}{space 4} .6901673{col 70}{space 3} .8823724
{txt}{space 7}lameduck {c |}{col 17}{res}{space 2} .9333889{col 29}{space 2} .0844122{col 40}{space 1}   -0.76{col 49}{space 3}0.446{col 57}{space 4} .7817774{col 70}{space 3} 1.114403
{txt}{space 4}kv_workload {c |}{col 17}{res}{space 2} .9999922{col 29}{space 2} .0000324{col 40}{space 1}   -0.24{col 49}{space 3}0.810{col 57}{space 4} .9999287{col 70}{space 3} 1.000056
{txt}{space 3}polarization {c |}{col 17}{res}{space 2} 10.10047{col 29}{space 2}  11.4206{col 40}{space 1}    2.05{col 49}{space 3}0.041{col 57}{space 4} 1.101255{col 70}{space 3}  92.6393
{txt}{space 7}workload {c |}{col 17}{res}{space 2} 1.000186{col 29}{space 2} .0005448{col 40}{space 1}    0.34{col 49}{space 3}0.733{col 57}{space 4} .9991186{col 70}{space 3} 1.001254
{txt}{space 9}female {c |}{col 17}{res}{space 2}  .999898{col 29}{space 2} .0444917{col 40}{space 1}   -0.00{col 49}{space 3}0.998{col 57}{space 4} .9163903{col 70}{space 3} 1.091016
{txt}{space 3}priorconfirm {c |}{col 17}{res}{space 2} .9695998{col 29}{space 2} .0499276{col 40}{space 1}   -0.60{col 49}{space 3}0.549{col 57}{space 4} .8765196{col 70}{space 3} 1.072564
{txt}{space 9}denied {c |}{col 17}{res}{space 2} .6177386{col 29}{space 2} .0569129{col 40}{space 1}   -5.23{col 49}{space 3}0.000{col 57}{space 4} .5156829{col 70}{space 3} .7399916
{txt}{space 6}x_itier_2 {c |}{col 17}{res}{space 2}  .884057{col 29}{space 2}  .051059{col 40}{space 1}   -2.13{col 49}{space 3}0.033{col 57}{space 4} .7894394{col 70}{space 3} .9900149
{txt}{space 6}x_itier_3 {c |}{col 17}{res}{space 2} .8883168{col 29}{space 2}  .129276{col 40}{space 1}   -0.81{col 49}{space 3}0.416{col 57}{space 4} .6678721{col 70}{space 3} 1.181524
{txt}{space 6}x_itier_4 {c |}{col 17}{res}{space 2} .9506555{col 29}{space 2} .0649848{col 40}{space 1}   -0.74{col 49}{space 3}0.459{col 57}{space 4} .8314513{col 70}{space 3}  1.08695
{txt}{space 8}defense {c |}{col 17}{res}{space 2} 1.194363{col 29}{space 2} .0828588{col 40}{space 1}    2.56{col 49}{space 3}0.010{col 57}{space 4}  1.04252{col 70}{space 3} 1.368322
{txt}{space 1}infrastructure {c |}{col 17}{res}{space 2} .9194254{col 29}{space 2} .0520919{col 40}{space 1}   -1.48{col 49}{space 3}0.138{col 57}{space 4} .8227918{col 70}{space 3} 1.027408
{txt}{space 9}social {c |}{col 17}{res}{space 2} .9798792{col 29}{space 2} .0567284{col 40}{space 1}   -0.35{col 49}{space 3}0.726{col 57}{space 4} .8747697{col 70}{space 3} 1.097618
{txt}{space 11}fvra {c |}{col 17}{res}{space 2} 1.019521{col 29}{space 2} .0541899{col 40}{space 1}    0.36{col 49}{space 3}0.716{col 57}{space 4} .9186559{col 70}{space 3} 1.131461
{txt}{space 4}firstrecess {c |}{col 17}{res}{space 2} .9926969{col 29}{space 2} .0369079{col 40}{space 1}   -0.20{col 49}{space 3}0.844{col 57}{space 4} .9229315{col 70}{space 3} 1.067736
{txt}{space 3}secondrecess {c |}{col 17}{res}{space 2} .9796879{col 29}{space 2} .0434051{col 40}{space 1}   -0.46{col 49}{space 3}0.643{col 57}{space 4} .8982045{col 70}{space 3} 1.068563
{txt}policy_majage~y {c |}{col 17}{res}{space 2} 1.059584{col 29}{space 2} .0490244{col 40}{space 1}    1.25{col 49}{space 3}0.211{col 57}{space 4} .9677262{col 70}{space 3} 1.160162
{txt}{space 15} {c |}
{space 8}kbcom_1 {c |}
{space 13}2  {c |}{col 17}{res}{space 2} .9290568{col 29}{space 2} .0825784{col 40}{space 1}   -0.83{col 49}{space 3}0.408{col 57}{space 4} .7805199{col 70}{space 3} 1.105861
{txt}{space 13}3  {c |}{col 17}{res}{space 2} 1.029236{col 29}{space 2} .0624332{col 40}{space 1}    0.48{col 49}{space 3}0.635{col 57}{space 4} .9138639{col 70}{space 3} 1.159174
{txt}{space 13}4  {c |}{col 17}{res}{space 2} .7386499{col 29}{space 2} .1098343{col 40}{space 1}   -2.04{col 49}{space 3}0.042{col 57}{space 4} .5519102{col 70}{space 3} .9885733
{txt}{space 13}5  {c |}{col 17}{res}{space 2} 1.226558{col 29}{space 2} .1503862{col 40}{space 1}    1.67{col 49}{space 3}0.096{col 57}{space 4} .9645474{col 70}{space 3} 1.559741
{txt}{space 13}6  {c |}{col 17}{res}{space 2} 1.099204{col 29}{space 2} .1273187{col 40}{space 1}    0.82{col 49}{space 3}0.414{col 57}{space 4} .8759617{col 70}{space 3}  1.37934
{txt}{space 13}7  {c |}{col 17}{res}{space 2} 1.159688{col 29}{space 2} .0972444{col 40}{space 1}    1.77{col 49}{space 3}0.077{col 57}{space 4} .9839312{col 70}{space 3} 1.366841
{txt}{space 13}8  {c |}{col 17}{res}{space 2} 1.591474{col 29}{space 2} .3698243{col 40}{space 1}    2.00{col 49}{space 3}0.046{col 57}{space 4} 1.009249{col 70}{space 3} 2.509576
{txt}{space 13}9  {c |}{col 17}{res}{space 2} 1.121053{col 29}{space 2} .1161149{col 40}{space 1}    1.10{col 49}{space 3}0.270{col 57}{space 4} .9150853{col 70}{space 3}  1.37338
{txt}{space 12}10  {c |}{col 17}{res}{space 2}  1.29789{col 29}{space 2} .2064937{col 40}{space 1}    1.64{col 49}{space 3}0.101{col 57}{space 4} .9501932{col 70}{space 3} 1.772816
{txt}{space 12}11  {c |}{col 17}{res}{space 2} 1.904842{col 29}{space 2} .3650579{col 40}{space 1}    3.36{col 49}{space 3}0.001{col 57}{space 4} 1.308364{col 70}{space 3} 2.773253
{txt}{space 12}12  {c |}{col 17}{res}{space 2} 1.028467{col 29}{space 2} .2161974{col 40}{space 1}    0.13{col 49}{space 3}0.894{col 57}{space 4} .6811715{col 70}{space 3} 1.552831
{txt}{space 12}13  {c |}{col 17}{res}{space 2} .8955427{col 29}{space 2} .0897696{col 40}{space 1}   -1.10{col 49}{space 3}0.271{col 57}{space 4} .7358028{col 70}{space 3} 1.089962
{txt}{space 12}14  {c |}{col 17}{res}{space 2} .5221297{col 29}{space 2} .1318242{col 40}{space 1}   -2.57{col 49}{space 3}0.010{col 57}{space 4} .3183259{col 70}{space 3} .8564159
{txt}{space 12}15  {c |}{col 17}{res}{space 2} 1.911533{col 29}{space 2} .4725526{col 40}{space 1}    2.62{col 49}{space 3}0.009{col 57}{space 4} 1.177484{col 70}{space 3} 3.103191
{txt}{space 12}16  {c |}{col 17}{res}{space 2} 1.312975{col 29}{space 2} .2449389{col 40}{space 1}    1.46{col 49}{space 3}0.144{col 57}{space 4}  .910883{col 70}{space 3} 1.892563
{txt}{space 12}17  {c |}{col 17}{res}{space 2}  .938629{col 29}{space 2} .0894478{col 40}{space 1}   -0.66{col 49}{space 3}0.506{col 57}{space 4} .7787135{col 70}{space 3} 1.131385
{txt}{space 12}18  {c |}{col 17}{res}{space 2} .6097997{col 29}{space 2} .1243604{col 40}{space 1}   -2.43{col 49}{space 3}0.015{col 57}{space 4} .4088803{col 70}{space 3} .9094488
{txt}{space 12}19  {c |}{col 17}{res}{space 2} .5668977{col 29}{space 2}  .071823{col 40}{space 1}   -4.48{col 49}{space 3}0.000{col 57}{space 4}  .442244{col 70}{space 3} .7266872
{txt}{space 12}20  {c |}{col 17}{res}{space 2} 1.203886{col 29}{space 2} .0759893{col 40}{space 1}    2.94{col 49}{space 3}0.003{col 57}{space 4} 1.063794{col 70}{space 3} 1.362427
{txt}{space 15} {c |}
{space 8}presrev {c |}
{space 13}2  {c |}{col 17}{res}{space 2} 1.248319{col 29}{space 2} .1521246{col 40}{space 1}    1.82{col 49}{space 3}0.069{col 57}{space 4}  .983094{col 70}{space 3} 1.585098
{txt}{space 13}3  {c |}{col 17}{res}{space 2} .3291919{col 29}{space 2} .0666896{col 40}{space 1}   -5.48{col 49}{space 3}0.000{col 57}{space 4} .2213135{col 70}{space 3} .4896552
{txt}{space 13}4  {c |}{col 17}{res}{space 2} .3013784{col 29}{space 2} .0579565{col 40}{space 1}   -6.24{col 49}{space 3}0.000{col 57}{space 4} .2067388{col 70}{space 3} .4393416
{txt}{space 13}5  {c |}{col 17}{res}{space 2} .1068456{col 29}{space 2} .0366934{col 40}{space 1}   -6.51{col 49}{space 3}0.000{col 57}{space 4} .0545046{col 70}{space 3} .2094499
{txt}{space 13}6  {c |}{col 17}{res}{space 2} .0974199{col 29}{space 2} .0367931{col 40}{space 1}   -6.17{col 49}{space 3}0.000{col 57}{space 4} .0464697{col 70}{space 3}  .204233
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. *
. *
. * DESCRIPTIVE STATISTICS FOR EACH PARTISAN CONTROL REGIME *
. sum wSenComm_chair_pres1 if e(sample) & sendivide==0, detail

                    {txt}wSenComm_chair_pres1
{hline 61}
      Percentiles      Smallest
 1%    {res}-.7163319      -.7163319
{txt} 5%    {res}-.5493055      -.7163319
{txt}10%    {res}-.5251514      -.7163319       {txt}Obs         {res}      5,188
{txt}25%    {res}-.4552139      -.7163319       {txt}Sum of wgt. {res}      5,188

{txt}50%    {res}-.3632139                      {txt}Mean          {res}-.3108356
                        {txt}Largest       Std. dev.     {res} .2508708
{txt}75%    {res}-.1827927       .6940686
{txt}90%    {res}-.0447927       .6940686       {txt}Variance      {res} .0629362
{txt}95%    {res} .1718941       .6940686       {txt}Skewness      {res} 1.832556
{txt}99%    {res} .6122074       .6940686       {txt}Kurtosis      {res} 7.245385
{txt}
{com}. sum wSenComm_chair_pres1 if e(sample) & sendivide==1, detail

                    {txt}wSenComm_chair_pres1
{hline 61}
      Percentiles      Smallest
 1%    {res}-.2693319      -.7163319
{txt} 5%    {res}-.0833319      -.4493055
{txt}10%    {res} .0763208       -.411764       {txt}Obs         {res}      4,691
{txt}25%    {res} .2528486      -.3632139       {txt}Sum of wgt. {res}      4,691

{txt}50%    {res} .3532833                      {txt}Mean          {res} .3488678
                        {txt}Largest       Std. dev.     {res} .2152569
{txt}75%    {res} .4892833       .7534087
{txt}90%    {res} .6122074       .7534087       {txt}Variance      {res} .0463355
{txt}95%    {res} .6940686       .7534087       {txt}Skewness      {res}-.6841008
{txt}99%    {res} .7534087       .8284615       {txt}Kurtosis      {res} 3.657556
{txt}
{com}. 
. 
. ** CONDITIONAL COEFFICIENT ANALYSIS TESTS: DIRECTION [+] ** 
. 
. * DIFFERENCE BETWEEN DIVIDED AND UNIFIED PARTISAN CONTROL OF SENATE & PRESIDENCY: INTERQUARTILE UNIT CHANGE IN "wSenComm_chair_pres1" *
. lincomest (chair_pres1 * 0.2724212 +  1.sendivide#c.chair_pres1 * 0.2364347) - chair_pres1 * 0.2724212, eform(hr)
{txt}Confidence interval for formula:
{res}(chair_pres1*0.2724212+1.sendivide#c.chair_pres1*0.2364347)-chair_pres1*0.2724212

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}          _t{col 14}{c |}         hr{col 26}   Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} 1.064666{col 26}{space 2} .0603009{col 37}{space 1}    1.11{col 46}{space 3}0.269{col 54}{space 4} .9528027{col 67}{space 3} 1.189664
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. matrix modelF6 = r(table)
{txt}
{com}. mat list modelF6
{res}
{txt}modelF6[9,1]
               (1)
     b {res} 1.0646665
{txt}    se {res}  .0603009
{txt}     z {res} 1.1063462
{txt}pvalue {res} .26857672
{txt}    ll {res} .95280267
{txt}    ul {res} 1.1896636
{txt}    df {res}         .
{txt}  crit {res}  1.959964
{txt} eform {res}         1
{reset}
{com}. *
. *
. *
. 
. 
. 
. **********************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
. 
. 
. 
. 
. * SENATE COMMITTEE MEDIAN PREFERENCE DISTANCE & UNIFIED/DIVIDED PARTISAN CONTROL OF SENATE & PRESIDENCY [MODEL F7: WEIBULL PARAMETRIC MODEL] *
. 
. streg  c.committee_pres1##i.sendivide    pressenfloorabsdist   experience_median  committeestaffsize ln_combills_workload   pres_app_m first90 preselection lameduck   kv_workload  polarization   workload  female priorconfirm denied  x_itier_2 x_itier_3 x_itier_4 defense infrastructure social fvra firstrecess secondrecess policy_majagency  i.kbcom_1  i.presrev,  distribution(weibull)  vce(cluster kbcom_1)

{col 9}{txt}Failure {bf:_d}: {res}confirmbinary
{col 3}{txt}Analysis time {bf:_t}: {res}polvetdur2plus1

{txt}Fitting constant-only model:
Iteration 0:  Log pseudolikelihood = {res} -18702.67
{txt}Iteration 1:  Log pseudolikelihood = {res} -16052.17
{txt}Iteration 2:  Log pseudolikelihood = {res}-15997.517
{txt}Iteration 3:  Log pseudolikelihood = {res}-15997.507
{txt}Iteration 4:  Log pseudolikelihood = {res}-15997.507

{txt}Fitting full model:
{res}{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-15997.507}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-15124.408}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-14455.991}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-14448.039}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-14448.021}  
Iteration 5:{space 2}Log pseudolikelihood = {res:-14448.021}  
{res}
{txt}Weibull PH regression

No. of subjects = {res}{ralign 7:9,879}{col 57}{txt}{lalign 13:Number of obs} = {res}{ralign 6:9,879}
{txt}No. of failures = {res}{ralign 7:7,076}
{txt}Time at risk    = {res}{ralign 7:284,994}
{col 57}{txt}{lalign 13:{help j_robustsingular##|_new:Wald chi2(17)}} = {res}{ralign 6:.}
{txt}Log pseudolikelihood = {res}-14448.021{col 57}{txt}{lalign 13:Prob > chi2} = {res}{ralign 6:.}

{txt}{ralign 81:(Std. err. adjusted for {res:20} clusters in {res:kbcom_1})}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}             _t{col 17}{c |} Haz. ratio{col 29}   std. err.{col 41}      z{col 49}   P>|z|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
committee_pres1 {c |}{col 17}{res}{space 2} .7007118{col 29}{space 2} .4051066{col 40}{space 1}   -0.62{col 49}{space 3}0.538{col 57}{space 4} .2256468{col 70}{space 3} 2.175953
{txt}{space 4}1.sendivide {c |}{col 17}{res}{space 2} .2332266{col 29}{space 2} .1064374{col 40}{space 1}   -3.19{col 49}{space 3}0.001{col 57}{space 4}  .095349{col 70}{space 3} .5704798
{txt}{space 15} {c |}
{space 6}sendivide#{c |}
{space 13}c. {c |}
committee_pres1 {c |}
{space 13}1  {c |}{col 17}{res}{space 2} 6.259313{col 29}{space 2} 3.918253{col 40}{space 1}    2.93{col 49}{space 3}0.003{col 57}{space 4} 1.835207{col 70}{space 3} 21.34855
{txt}{space 15} {c |}
pressenfloora~t {c |}{col 17}{res}{space 2} .5750913{col 29}{space 2} .4776619{col 40}{space 1}   -0.67{col 49}{space 3}0.505{col 57}{space 4} .1129125{col 70}{space 3} 2.929082
{txt}experience_me~n {c |}{col 17}{res}{space 2} 1.017869{col 29}{space 2}  .011935{col 40}{space 1}    1.51{col 49}{space 3}0.131{col 57}{space 4}  .994744{col 70}{space 3} 1.041532
{txt}committeestaf~e {c |}{col 17}{res}{space 2} .9969774{col 29}{space 2} .0024748{col 40}{space 1}   -1.22{col 49}{space 3}0.223{col 57}{space 4} .9921386{col 70}{space 3}  1.00184
{txt}ln_combills_w~d {c |}{col 17}{res}{space 2} .6830335{col 29}{space 2} .1107502{col 40}{space 1}   -2.35{col 49}{space 3}0.019{col 57}{space 4} .4970777{col 70}{space 3}  .938555
{txt}{space 5}pres_app_m {c |}{col 17}{res}{space 2} 1.005508{col 29}{space 2} .0022925{col 40}{space 1}    2.41{col 49}{space 3}0.016{col 57}{space 4} 1.001025{col 70}{space 3} 1.010011
{txt}{space 8}first90 {c |}{col 17}{res}{space 2} 1.974479{col 29}{space 2} .2448749{col 40}{space 1}    5.49{col 49}{space 3}0.000{col 57}{space 4} 1.548412{col 70}{space 3} 2.517784
{txt}{space 3}preselection {c |}{col 17}{res}{space 2} .7343057{col 29}{space 2} .0466153{col 40}{space 1}   -4.86{col 49}{space 3}0.000{col 57}{space 4} .6483968{col 70}{space 3} .8315972
{txt}{space 7}lameduck {c |}{col 17}{res}{space 2} .9307456{col 29}{space 2} .0979936{col 40}{space 1}   -0.68{col 49}{space 3}0.495{col 57}{space 4} .7572028{col 70}{space 3} 1.144063
{txt}{space 4}kv_workload {c |}{col 17}{res}{space 2} .9999381{col 29}{space 2} .0000371{col 40}{space 1}   -1.67{col 49}{space 3}0.095{col 57}{space 4} .9998653{col 70}{space 3} 1.000011
{txt}{space 3}polarization {c |}{col 17}{res}{space 2} 35.22234{col 29}{space 2} 39.79423{col 40}{space 1}    3.15{col 49}{space 3}0.002{col 57}{space 4} 3.847069{col 70}{space 3} 322.4827
{txt}{space 7}workload {c |}{col 17}{res}{space 2} 1.000074{col 29}{space 2} .0007423{col 40}{space 1}    0.10{col 49}{space 3}0.920{col 57}{space 4} .9986205{col 70}{space 3}  1.00153
{txt}{space 9}female {c |}{col 17}{res}{space 2} .9881731{col 29}{space 2} .0596057{col 40}{space 1}   -0.20{col 49}{space 3}0.844{col 57}{space 4} .8779895{col 70}{space 3} 1.112184
{txt}{space 3}priorconfirm {c |}{col 17}{res}{space 2} .9566203{col 29}{space 2}  .064176{col 40}{space 1}   -0.66{col 49}{space 3}0.509{col 57}{space 4} .8387561{col 70}{space 3} 1.091047
{txt}{space 9}denied {c |}{col 17}{res}{space 2} .5655011{col 29}{space 2} .0581481{col 40}{space 1}   -5.54{col 49}{space 3}0.000{col 57}{space 4} .4622831{col 70}{space 3} .6917655
{txt}{space 6}x_itier_2 {c |}{col 17}{res}{space 2} .8631914{col 29}{space 2}  .060754{col 40}{space 1}   -2.09{col 49}{space 3}0.037{col 57}{space 4} .7519639{col 70}{space 3} .9908714
{txt}{space 6}x_itier_3 {c |}{col 17}{res}{space 2} .8633808{col 29}{space 2} .1703527{col 40}{space 1}   -0.74{col 49}{space 3}0.457{col 57}{space 4} .5864794{col 70}{space 3} 1.271019
{txt}{space 6}x_itier_4 {c |}{col 17}{res}{space 2} .9034153{col 29}{space 2} .0678425{col 40}{space 1}   -1.35{col 49}{space 3}0.176{col 57}{space 4}  .779769{col 70}{space 3} 1.046668
{txt}{space 8}defense {c |}{col 17}{res}{space 2} 1.248809{col 29}{space 2} .0981432{col 40}{space 1}    2.83{col 49}{space 3}0.005{col 57}{space 4} 1.070534{col 70}{space 3} 1.456772
{txt}{space 1}infrastructure {c |}{col 17}{res}{space 2} .9190166{col 29}{space 2} .0679398{col 40}{space 1}   -1.14{col 49}{space 3}0.253{col 57}{space 4} .7950544{col 70}{space 3} 1.062306
{txt}{space 9}social {c |}{col 17}{res}{space 2} .9696404{col 29}{space 2} .0601085{col 40}{space 1}   -0.50{col 49}{space 3}0.619{col 57}{space 4} .8587055{col 70}{space 3} 1.094907
{txt}{space 11}fvra {c |}{col 17}{res}{space 2} 1.064304{col 29}{space 2} .0687402{col 40}{space 1}    0.96{col 49}{space 3}0.335{col 57}{space 4} .9377549{col 70}{space 3} 1.207932
{txt}{space 4}firstrecess {c |}{col 17}{res}{space 2} 1.012322{col 29}{space 2} .0476809{col 40}{space 1}    0.26{col 49}{space 3}0.795{col 57}{space 4} .9230524{col 70}{space 3} 1.110224
{txt}{space 3}secondrecess {c |}{col 17}{res}{space 2} .9157948{col 29}{space 2} .0542637{col 40}{space 1}   -1.48{col 49}{space 3}0.138{col 57}{space 4} .8153834{col 70}{space 3} 1.028572
{txt}policy_majage~y {c |}{col 17}{res}{space 2} 1.023172{col 29}{space 2} .0621016{col 40}{space 1}    0.38{col 49}{space 3}0.706{col 57}{space 4} .9084165{col 70}{space 3} 1.152425
{txt}{space 15} {c |}
{space 8}kbcom_1 {c |}
{space 13}2  {c |}{col 17}{res}{space 2} 1.225782{col 29}{space 2}  .107407{col 40}{space 1}    2.32{col 49}{space 3}0.020{col 57}{space 4} 1.032353{col 70}{space 3} 1.455453
{txt}{space 13}3  {c |}{col 17}{res}{space 2} 1.230756{col 29}{space 2} .1064575{col 40}{space 1}    2.40{col 49}{space 3}0.016{col 57}{space 4} 1.038831{col 70}{space 3} 1.458139
{txt}{space 13}4  {c |}{col 17}{res}{space 2} .7228713{col 29}{space 2} .1600094{col 40}{space 1}   -1.47{col 49}{space 3}0.143{col 57}{space 4} .4684306{col 70}{space 3} 1.115518
{txt}{space 13}5  {c |}{col 17}{res}{space 2} 1.564557{col 29}{space 2} .2861358{col 40}{space 1}    2.45{col 49}{space 3}0.014{col 57}{space 4} 1.093247{col 70}{space 3} 2.239053
{txt}{space 13}6  {c |}{col 17}{res}{space 2} 1.298062{col 29}{space 2} .2757221{col 40}{space 1}    1.23{col 49}{space 3}0.219{col 57}{space 4} .8560348{col 70}{space 3} 1.968338
{txt}{space 13}7  {c |}{col 17}{res}{space 2} 1.168338{col 29}{space 2} .1556515{col 40}{space 1}    1.17{col 49}{space 3}0.243{col 57}{space 4} .8998444{col 70}{space 3} 1.516944
{txt}{space 13}8  {c |}{col 17}{res}{space 2} 2.065024{col 29}{space 2} .7536732{col 40}{space 1}    1.99{col 49}{space 3}0.047{col 57}{space 4} 1.009861{col 70}{space 3} 4.222685
{txt}{space 13}9  {c |}{col 17}{res}{space 2} 1.361695{col 29}{space 2} .1923006{col 40}{space 1}    2.19{col 49}{space 3}0.029{col 57}{space 4} 1.032457{col 70}{space 3} 1.795924
{txt}{space 12}10  {c |}{col 17}{res}{space 2} 1.545973{col 29}{space 2} .3030576{col 40}{space 1}    2.22{col 49}{space 3}0.026{col 57}{space 4} 1.052787{col 70}{space 3} 2.270195
{txt}{space 12}11  {c |}{col 17}{res}{space 2} 2.261079{col 29}{space 2}   .62345{col 40}{space 1}    2.96{col 49}{space 3}0.003{col 57}{space 4} 1.317082{col 70}{space 3} 3.881669
{txt}{space 12}12  {c |}{col 17}{res}{space 2} 1.281104{col 29}{space 2} .3364452{col 40}{space 1}    0.94{col 49}{space 3}0.346{col 57}{space 4} .7656682{col 70}{space 3} 2.143522
{txt}{space 12}13  {c |}{col 17}{res}{space 2}  .956198{col 29}{space 2} .1097059{col 40}{space 1}   -0.39{col 49}{space 3}0.696{col 57}{space 4} .7636393{col 70}{space 3} 1.197312
{txt}{space 12}14  {c |}{col 17}{res}{space 2}  .454825{col 29}{space 2} .1730881{col 40}{space 1}   -2.07{col 49}{space 3}0.038{col 57}{space 4} .2157303{col 70}{space 3} .9589089
{txt}{space 12}15  {c |}{col 17}{res}{space 2} 2.770776{col 29}{space 2} .9918379{col 40}{space 1}    2.85{col 49}{space 3}0.004{col 57}{space 4} 1.373732{col 70}{space 3} 5.588572
{txt}{space 12}16  {c |}{col 17}{res}{space 2} 1.660035{col 29}{space 2} .4337206{col 40}{space 1}    1.94{col 49}{space 3}0.052{col 57}{space 4} .9947688{col 70}{space 3} 2.770208
{txt}{space 12}17  {c |}{col 17}{res}{space 2} .8376846{col 29}{space 2} .1144125{col 40}{space 1}   -1.30{col 49}{space 3}0.195{col 57}{space 4} .6409466{col 70}{space 3} 1.094811
{txt}{space 12}18  {c |}{col 17}{res}{space 2}  .628486{col 29}{space 2} .2065186{col 40}{space 1}   -1.41{col 49}{space 3}0.158{col 57}{space 4} .3300604{col 70}{space 3} 1.196735
{txt}{space 12}19  {c |}{col 17}{res}{space 2} .5190727{col 29}{space 2} .1029757{col 40}{space 1}   -3.31{col 49}{space 3}0.001{col 57}{space 4} .3518548{col 70}{space 3} .7657605
{txt}{space 12}20  {c |}{col 17}{res}{space 2} 1.333909{col 29}{space 2} .0829873{col 40}{space 1}    4.63{col 49}{space 3}0.000{col 57}{space 4} 1.180783{col 70}{space 3} 1.506894
{txt}{space 15} {c |}
{space 8}presrev {c |}
{space 13}2  {c |}{col 17}{res}{space 2} 1.311312{col 29}{space 2} .2529159{col 40}{space 1}    1.41{col 49}{space 3}0.160{col 57}{space 4} .8985303{col 70}{space 3} 1.913724
{txt}{space 13}3  {c |}{col 17}{res}{space 2} .3199849{col 29}{space 2} .0878647{col 40}{space 1}   -4.15{col 49}{space 3}0.000{col 57}{space 4}  .186809{col 70}{space 3} .5481017
{txt}{space 13}4  {c |}{col 17}{res}{space 2} .2403251{col 29}{space 2} .0559813{col 40}{space 1}   -6.12{col 49}{space 3}0.000{col 57}{space 4}  .152237{col 70}{space 3} .3793831
{txt}{space 13}5  {c |}{col 17}{res}{space 2} .0740649{col 29}{space 2} .0289467{col 40}{space 1}   -6.66{col 49}{space 3}0.000{col 57}{space 4} .0344301{col 70}{space 3} .1593261
{txt}{space 13}6  {c |}{col 17}{res}{space 2} .0561689{col 29}{space 2} .0267337{col 40}{space 1}   -6.05{col 49}{space 3}0.000{col 57}{space 4} .0220986{col 70}{space 3} .1427667
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2} .3211948{col 29}{space 2} .3504762{col 40}{space 1}   -1.04{col 49}{space 3}0.298{col 57}{space 4} .0378415{col 70}{space 3} 2.726271
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}/ln_p {c |}{col 17}{res}{space 2}-.3512988{col 29}{space 2} .0278767{col 40}{space 1}  -12.60{col 49}{space 3}0.000{col 57}{space 4}-.4059363{col 70}{space 3}-.2966614
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
              p {c |}{col 17}{res}{space 2} .7037734{col 29}{space 2} .0196189{col 57}{space 4} .6663526{col 70}{space 3} .7432956
{txt}            1/p {c |}{col 17}{res}{space 2} 1.420912{col 29}{space 2} .0396104{col 57}{space 4}  1.34536{col 70}{space 3} 1.500707
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: {bf:_cons} estimates baseline hazard{txt}.{p_end}

{com}. 
. *
. *
. 
. ** CONDITIONAL COEFFICIENT ANALYSIS TESTS: DIRECTION [+] ** 
. 
. * DIFFERENCE BETWEEN DIVIDED AND UNIFIED PARTISAN CONTROL OF SENATE & PRESIDENCY: INTERQUARTILE UNIT CHANGE IN "wSenComm_committee_pres1"  *
. lincomest (committee_pres1 * 0.303 +  1.sendivide#c.committee_pres1 * 0.2483547) - committee_pres1 * 0.303, eform(hr)
{txt}Confidence interval for formula:
{res}(committee_pres1*0.303+1.sendivide#c.committee_pres1*0.2483547)-committee_pres1*0.303

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}          _t{col 14}{c |}         hr{col 26}   Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} 1.576962{col 26}{space 2} .2451655{col 37}{space 1}    2.93{col 46}{space 3}0.003{col 54}{space 4} 1.162753{col 67}{space 3} 2.138725
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. matrix modelF7 = r(table)
{txt}
{com}. mat list modelF7
{res}
{txt}modelF7[9,1]
               (1)
     b {res} 1.5769617
{txt}    se {res} .24516547
{txt}     z {res} 2.9298825
{txt}pvalue {res}  .0033909
{txt}    ll {res} 1.1627528
{txt}    ul {res} 2.1387246
{txt}    df {res}         .
{txt}  crit {res}  1.959964
{txt} eform {res}         1
{reset}
{com}. *
. *
. *
. 
. 
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************************
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. 
. 
. * SENATE COMMITTEE CHAIR PREFERENCE DISTANCE & UNIFIED/DIVIDED PARTISAN CONTROL OF SENATE & PRESIDENCY [MODEL F8: WEIBULL PARAMETRIC MODEL] *
. 
. streg  c.chair_pres1##i.sendivide   pressenfloorabsdist   chair_experience_1  committeestaffsize ln_combills_workload   pres_app_m first90 preselection lameduck   kv_workload  polarization   workload  female priorconfirm denied  x_itier_2 x_itier_3 x_itier_4 defense infrastructure social fvra firstrecess secondrecess policy_majagency  i.kbcom_1  i.presrev,  distribution(weibull)  vce(cluster kbcom_1)

{col 9}{txt}Failure {bf:_d}: {res}confirmbinary
{col 3}{txt}Analysis time {bf:_t}: {res}polvetdur2plus1

{txt}Fitting constant-only model:
Iteration 0:  Log pseudolikelihood = {res} -18702.67
{txt}Iteration 1:  Log pseudolikelihood = {res} -16052.17
{txt}Iteration 2:  Log pseudolikelihood = {res}-15997.517
{txt}Iteration 3:  Log pseudolikelihood = {res}-15997.507
{txt}Iteration 4:  Log pseudolikelihood = {res}-15997.507

{txt}Fitting full model:
{res}{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-15997.507}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-15107.791}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-14418.855}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-14410.794}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-14410.773}  
Iteration 5:{space 2}Log pseudolikelihood = {res:-14410.773}  
{res}
{txt}Weibull PH regression

No. of subjects = {res}{ralign 7:9,879}{col 57}{txt}{lalign 13:Number of obs} = {res}{ralign 6:9,879}
{txt}No. of failures = {res}{ralign 7:7,076}
{txt}Time at risk    = {res}{ralign 7:284,994}
{col 57}{txt}{lalign 13:{help j_robustsingular##|_new:Wald chi2(17)}} = {res}{ralign 6:.}
{txt}Log pseudolikelihood = {res}-14410.773{col 57}{txt}{lalign 13:Prob > chi2} = {res}{ralign 6:.}

{txt}{ralign 81:(Std. err. adjusted for {res:20} clusters in {res:kbcom_1})}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}             _t{col 17}{c |} Haz. ratio{col 29}   std. err.{col 41}      z{col 49}   P>|z|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}chair_pres1 {c |}{col 17}{res}{space 2} 2.020264{col 29}{space 2} .4998643{col 40}{space 1}    2.84{col 49}{space 3}0.004{col 57}{space 4}  1.24394{col 70}{space 3}  3.28108
{txt}{space 4}1.sendivide {c |}{col 17}{res}{space 2} .4878933{col 29}{space 2}  .092293{col 40}{space 1}   -3.79{col 49}{space 3}0.000{col 57}{space 4} .3367489{col 70}{space 3} .7068764
{txt}{space 15} {c |}
{space 6}sendivide#{c |}
{space 2}c.chair_pres1 {c |}
{space 13}1  {c |}{col 17}{res}{space 2}    1.385{col 29}{space 2} .3724404{col 40}{space 1}    1.21{col 49}{space 3}0.226{col 57}{space 4}  .817623{col 70}{space 3} 2.346099
{txt}{space 15} {c |}
pressenfloora~t {c |}{col 17}{res}{space 2} .1732669{col 29}{space 2} .1252415{col 40}{space 1}   -2.43{col 49}{space 3}0.015{col 57}{space 4} .0420191{col 70}{space 3} .7144708
{txt}chair_experie~1 {c |}{col 17}{res}{space 2} 1.012793{col 29}{space 2} .0036878{col 40}{space 1}    3.49{col 49}{space 3}0.000{col 57}{space 4}  1.00559{col 70}{space 3} 1.020046
{txt}committeestaf~e {c |}{col 17}{res}{space 2}  .998468{col 29}{space 2} .0026199{col 40}{space 1}   -0.58{col 49}{space 3}0.559{col 57}{space 4} .9933463{col 70}{space 3} 1.003616
{txt}ln_combills_w~d {c |}{col 17}{res}{space 2} .6643132{col 29}{space 2} .0761057{col 40}{space 1}   -3.57{col 49}{space 3}0.000{col 57}{space 4} .5307094{col 70}{space 3} .8315513
{txt}{space 5}pres_app_m {c |}{col 17}{res}{space 2} 1.004434{col 29}{space 2} .0024777{col 40}{space 1}    1.79{col 49}{space 3}0.073{col 57}{space 4} .9995898{col 70}{space 3} 1.009302
{txt}{space 8}first90 {c |}{col 17}{res}{space 2} 1.902749{col 29}{space 2} .2350879{col 40}{space 1}    5.21{col 49}{space 3}0.000{col 57}{space 4}  1.49353{col 70}{space 3} 2.424091
{txt}{space 3}preselection {c |}{col 17}{res}{space 2} .7469688{col 29}{space 2} .0507314{col 40}{space 1}   -4.30{col 49}{space 3}0.000{col 57}{space 4} .6538707{col 70}{space 3} .8533221
{txt}{space 7}lameduck {c |}{col 17}{res}{space 2} .9219478{col 29}{space 2} .1058464{col 40}{space 1}   -0.71{col 49}{space 3}0.479{col 57}{space 4} .7361768{col 70}{space 3} 1.154597
{txt}{space 4}kv_workload {c |}{col 17}{res}{space 2} .9999791{col 29}{space 2}  .000038{col 40}{space 1}   -0.55{col 49}{space 3}0.582{col 57}{space 4} .9999047{col 70}{space 3} 1.000054
{txt}{space 3}polarization {c |}{col 17}{res}{space 2}  5.89756{col 29}{space 2} 7.831785{col 40}{space 1}    1.34{col 49}{space 3}0.181{col 57}{space 4} .4368196{col 70}{space 3} 79.62376
{txt}{space 7}workload {c |}{col 17}{res}{space 2}  1.00005{col 29}{space 2} .0007487{col 40}{space 1}    0.07{col 49}{space 3}0.946{col 57}{space 4}  .998584{col 70}{space 3} 1.001519
{txt}{space 9}female {c |}{col 17}{res}{space 2} .9997223{col 29}{space 2} .0601264{col 40}{space 1}   -0.00{col 49}{space 3}0.996{col 57}{space 4} .8885574{col 70}{space 3} 1.124795
{txt}{space 3}priorconfirm {c |}{col 17}{res}{space 2} .9498226{col 29}{space 2} .0643111{col 40}{space 1}   -0.76{col 49}{space 3}0.447{col 57}{space 4} .8317809{col 70}{space 3} 1.084616
{txt}{space 9}denied {c |}{col 17}{res}{space 2} .5544615{col 29}{space 2} .0598775{col 40}{space 1}   -5.46{col 49}{space 3}0.000{col 57}{space 4} .4486919{col 70}{space 3}  .685164
{txt}{space 6}x_itier_2 {c |}{col 17}{res}{space 2} .8520227{col 29}{space 2} .0620292{col 40}{space 1}   -2.20{col 49}{space 3}0.028{col 57}{space 4} .7387232{col 70}{space 3} .9826993
{txt}{space 6}x_itier_3 {c |}{col 17}{res}{space 2} .8273196{col 29}{space 2} .1679422{col 40}{space 1}   -0.93{col 49}{space 3}0.350{col 57}{space 4} .5557547{col 70}{space 3} 1.231582
{txt}{space 6}x_itier_4 {c |}{col 17}{res}{space 2} .9144834{col 29}{space 2} .0720835{col 40}{space 1}   -1.13{col 49}{space 3}0.257{col 57}{space 4} .7835749{col 70}{space 3} 1.067262
{txt}{space 8}defense {c |}{col 17}{res}{space 2} 1.262245{col 29}{space 2} .0987933{col 40}{space 1}    2.98{col 49}{space 3}0.003{col 57}{space 4} 1.082734{col 70}{space 3} 1.471517
{txt}{space 1}infrastructure {c |}{col 17}{res}{space 2} .9104524{col 29}{space 2} .0610722{col 40}{space 1}   -1.40{col 49}{space 3}0.162{col 57}{space 4} .7982879{col 70}{space 3} 1.038377
{txt}{space 9}social {c |}{col 17}{res}{space 2} 1.003884{col 29}{space 2} .0701569{col 40}{space 1}    0.06{col 49}{space 3}0.956{col 57}{space 4} .8753809{col 70}{space 3} 1.151252
{txt}{space 11}fvra {c |}{col 17}{res}{space 2} 1.036803{col 29}{space 2} .0712491{col 40}{space 1}    0.53{col 49}{space 3}0.599{col 57}{space 4} .9061534{col 70}{space 3}  1.18629
{txt}{space 4}firstrecess {c |}{col 17}{res}{space 2} 1.007463{col 29}{space 2} .0455132{col 40}{space 1}    0.16{col 49}{space 3}0.869{col 57}{space 4} .9220937{col 70}{space 3} 1.100735
{txt}{space 3}secondrecess {c |}{col 17}{res}{space 2} .9571913{col 29}{space 2} .0570342{col 40}{space 1}   -0.73{col 49}{space 3}0.463{col 57}{space 4} .8516868{col 70}{space 3} 1.075765
{txt}policy_majage~y {c |}{col 17}{res}{space 2} 1.051555{col 29}{space 2}  .060904{col 40}{space 1}    0.87{col 49}{space 3}0.385{col 57}{space 4} .9387116{col 70}{space 3} 1.177964
{txt}{space 15} {c |}
{space 8}kbcom_1 {c |}
{space 13}2  {c |}{col 17}{res}{space 2} .9570172{col 29}{space 2} .0902803{col 40}{space 1}   -0.47{col 49}{space 3}0.641{col 57}{space 4} .7954658{col 70}{space 3} 1.151378
{txt}{space 13}3  {c |}{col 17}{res}{space 2} 1.107447{col 29}{space 2} .0787927{col 40}{space 1}    1.43{col 49}{space 3}0.151{col 57}{space 4}    .9633{col 70}{space 3} 1.273164
{txt}{space 13}4  {c |}{col 17}{res}{space 2} .6986377{col 29}{space 2} .1224644{col 40}{space 1}   -2.05{col 49}{space 3}0.041{col 57}{space 4} .4955012{col 70}{space 3} .9850524
{txt}{space 13}5  {c |}{col 17}{res}{space 2} 1.411585{col 29}{space 2} .1975581{col 40}{space 1}    2.46{col 49}{space 3}0.014{col 57}{space 4} 1.072945{col 70}{space 3} 1.857107
{txt}{space 13}6  {c |}{col 17}{res}{space 2}  1.24824{col 29}{space 2}  .180181{col 40}{space 1}    1.54{col 49}{space 3}0.125{col 57}{space 4} .9406517{col 70}{space 3} 1.656408
{txt}{space 13}7  {c |}{col 17}{res}{space 2} 1.244788{col 29}{space 2}  .126802{col 40}{space 1}    2.15{col 49}{space 3}0.032{col 57}{space 4} 1.019499{col 70}{space 3} 1.519862
{txt}{space 13}8  {c |}{col 17}{res}{space 2} 1.941322{col 29}{space 2} .5175542{col 40}{space 1}    2.49{col 49}{space 3}0.013{col 57}{space 4} 1.151247{col 70}{space 3}  3.27361
{txt}{space 13}9  {c |}{col 17}{res}{space 2} 1.245581{col 29}{space 2} .1456484{col 40}{space 1}    1.88{col 49}{space 3}0.060{col 57}{space 4} .9904647{col 70}{space 3} 1.566407
{txt}{space 12}10  {c |}{col 17}{res}{space 2} 1.454395{col 29}{space 2} .2635425{col 40}{space 1}    2.07{col 49}{space 3}0.039{col 57}{space 4} 1.019626{col 70}{space 3} 2.074549
{txt}{space 12}11  {c |}{col 17}{res}{space 2} 2.311244{col 29}{space 2} .4946618{col 40}{space 1}    3.91{col 49}{space 3}0.000{col 57}{space 4} 1.519386{col 70}{space 3} 3.515794
{txt}{space 12}12  {c |}{col 17}{res}{space 2} 1.135632{col 29}{space 2}  .273314{col 40}{space 1}    0.53{col 49}{space 3}0.597{col 57}{space 4} .7085618{col 70}{space 3} 1.820109
{txt}{space 12}13  {c |}{col 17}{res}{space 2} .9738116{col 29}{space 2} .1125208{col 40}{space 1}   -0.23{col 49}{space 3}0.818{col 57}{space 4} .7764641{col 70}{space 3} 1.221317
{txt}{space 12}14  {c |}{col 17}{res}{space 2} .4481938{col 29}{space 2}  .129167{col 40}{space 1}   -2.78{col 49}{space 3}0.005{col 57}{space 4} .2547735{col 70}{space 3} .7884561
{txt}{space 12}15  {c |}{col 17}{res}{space 2} 2.478975{col 29}{space 2} .7122166{col 40}{space 1}    3.16{col 49}{space 3}0.002{col 57}{space 4} 1.411625{col 70}{space 3} 4.353362
{txt}{space 12}16  {c |}{col 17}{res}{space 2} 1.493837{col 29}{space 2} .3199662{col 40}{space 1}    1.87{col 49}{space 3}0.061{col 57}{space 4} .9817106{col 70}{space 3} 2.273122
{txt}{space 12}17  {c |}{col 17}{res}{space 2}  .964761{col 29}{space 2} .1201765{col 40}{space 1}   -0.29{col 49}{space 3}0.773{col 57}{space 4} .7557687{col 70}{space 3} 1.231546
{txt}{space 12}18  {c |}{col 17}{res}{space 2} .5790675{col 29}{space 2} .1341127{col 40}{space 1}   -2.36{col 49}{space 3}0.018{col 57}{space 4} .3677816{col 70}{space 3} .9117346
{txt}{space 12}19  {c |}{col 17}{res}{space 2} .5121973{col 29}{space 2} .0774413{col 40}{space 1}   -4.43{col 49}{space 3}0.000{col 57}{space 4} .3808383{col 70}{space 3} .6888649
{txt}{space 12}20  {c |}{col 17}{res}{space 2} 1.313613{col 29}{space 2} .1050501{col 40}{space 1}    3.41{col 49}{space 3}0.001{col 57}{space 4} 1.123043{col 70}{space 3}  1.53652
{txt}{space 15} {c |}
{space 8}presrev {c |}
{space 13}2  {c |}{col 17}{res}{space 2} 1.204749{col 29}{space 2} .1736179{col 40}{space 1}    1.29{col 49}{space 3}0.196{col 57}{space 4} .9082994{col 70}{space 3} 1.597954
{txt}{space 13}3  {c |}{col 17}{res}{space 2} .2664714{col 29}{space 2} .0643817{col 40}{space 1}   -5.47{col 49}{space 3}0.000{col 57}{space 4} .1659562{col 70}{space 3} .4278661
{txt}{space 13}4  {c |}{col 17}{res}{space 2} .2491511{col 29}{space 2} .0576101{col 40}{space 1}   -6.01{col 49}{space 3}0.000{col 57}{space 4} .1583592{col 70}{space 3} .3919965
{txt}{space 13}5  {c |}{col 17}{res}{space 2} .0734438{col 29}{space 2} .0299681{col 40}{space 1}   -6.40{col 49}{space 3}0.000{col 57}{space 4} .0330089{col 70}{space 3} .1634106
{txt}{space 13}6  {c |}{col 17}{res}{space 2} .0672469{col 29}{space 2} .0304115{col 40}{space 1}   -5.97{col 49}{space 3}0.000{col 57}{space 4} .0277158{col 70}{space 3} .1631613
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2}  1.35524{col 29}{space 2} 1.446191{col 40}{space 1}    0.28{col 49}{space 3}0.776{col 57}{space 4} .1673749{col 70}{space 3} 10.97343
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}/ln_p {c |}{col 17}{res}{space 2} -.345986{col 29}{space 2} .0244381{col 40}{space 1}  -14.16{col 49}{space 3}0.000{col 57}{space 4}-.3938838{col 70}{space 3}-.2980882
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
              p {c |}{col 17}{res}{space 2} .7075224{col 29}{space 2} .0172905{col 57}{space 4} .6744324{col 70}{space 3} .7422359
{txt}            1/p {c |}{col 17}{res}{space 2} 1.413383{col 29}{space 2} .0345404{col 57}{space 4} 1.347281{col 70}{space 3} 1.482728
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: {bf:_cons} estimates baseline hazard{txt}.{p_end}

{com}. *
. *
. 
. ** CONDITIONAL COEFFICIENT ANALYSIS TESTS: DIRECTION [+] ** 
. 
. * DIFFERENCE BETWEEN DIVIDED AND UNIFIED PARTISAN CONTROL OF SENATE & PRESIDENCY: INTERQUARTILE UNIT CHANGE IN "wSenComm_chair_pres1" *
. lincomest (chair_pres1 * 0.2724212 +  1.sendivide#c.chair_pres1 * 0.2364347) - chair_pres1 * 0.2724212, eform(hr)
{txt}Confidence interval for formula:
{res}(chair_pres1*0.2724212+1.sendivide#c.chair_pres1*0.2364347)-chair_pres1*0.2724212

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}          _t{col 14}{c |}         hr{col 26}   Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} 1.080049{col 26}{space 2} .0686692{col 37}{space 1}    1.21{col 46}{space 3}0.226{col 54}{space 4} .9535084{col 67}{space 3} 1.223384
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. matrix modelF8 = r(table)
{txt}
{com}. mat list modelF8
{res}
{txt}modelF8[9,1]
               (1)
     b {res} 1.0800494
{txt}    se {res} .06866918
{txt}     z {res}  1.211186
{txt}pvalue {res} .22582411
{txt}    ll {res} .95350839
{txt}    ul {res} 1.2233838
{txt}    df {res}         .
{txt}  crit {res}  1.959964
{txt} eform {res}         1
{reset}
{com}. *
. *
. *
. 
. 
. *** CREATE FIGURE F2 BASED ON MODELS F5-F8 ****
. 
. **** FIGURE F2 ****
. 
. matrix A = J(4, 3, .)
{txt}
{com}. matrix coln A = Point ll95 ul95
{txt}
{com}. matrix rown A = 1 2 3 4
{txt}
{com}. 
. matrix A[1,1] = modelF5[1,1]
{txt}
{com}. matrix A[1,2] = modelF5[5,1]
{txt}
{com}. matrix A[1,3] = modelF5[6,1]
{txt}
{com}. 
. matrix A[2,1] = modelF6[1,1]
{txt}
{com}. matrix A[2,2] = modelF6[5,1]
{txt}
{com}. matrix A[2,3] = modelF6[6,1]
{txt}
{com}. 
. matrix A[3,1] = modelF7[1,1]
{txt}
{com}. matrix A[3,2] = modelF7[5,1]
{txt}
{com}. matrix A[3,3] = modelF7[6,1]
{txt}
{com}. 
. matrix A[4,1] = modelF8[1,1]
{txt}
{com}. matrix A[4,2] = modelF8[5,1]
{txt}
{com}. matrix A[4,3] = modelF8[6,1]
{txt}
{com}. 
. 
. **********
. coefplot (matrix(A[,1]), ci((2 3))), grid(none) xline(1, lcolor(red%40) lpattern(dash)) xtitle("Hazard Ratio", size(small) margin(t=2)) ylabel(1 "Model F5" 2 "Model F6" 3 "Model F7" 4 "Model F8", labsize(small) noticks) mlabel format(%9.3f) mlabposition(12) mlabsize(vsmall) xlabel(0(1)2, angle(0) labsize(small) format(%9.1f)) msymbol(o) mcolor(black) msize(small) title("FIGURE F2", size(med)) ciopts(lcolor(black)) legend(off) subtitle("Differential Partisan Control Effects of Committee-President Ideological Distance" "(Senate Floor Confirmation Delay)", size(small))
{res}{p 0 4 2}
{txt}(note:  named style
med not found in class
gsize,  default attributes used)
{p_end}
{res}{txt}
{com}. 
. 
. graph save "Graph" "/Users/jasonbyers/Dropbox/Jason Byers/Co-Authored Projects/Projects with George Krause/Krause Projects/Confirmation Dynamics Project/Confirmation Delay & Senate Committees/2023 Version/Fall 2024/Statistics/Graphics/Appendix F/FigureF2.gph", replace
{res}{txt}file {bf:/Users/jasonbyers/Dropbox/Jason Byers/Co-Authored Projects/Projects with George Krause/Krause Projects/Confirmation Dynamics Project/Confirmation Delay & Senate Committees/2023 Version/Fall 2024/Statistics/Graphics/Appendix F/FigureF2.gph} saved

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. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}/Users/jasonbyers/Dropbox/Jason Byers/Co-Authored Projects/Projects with George Krause/Krause Projects/Confirmation Dynamics Project/Confirmation Delay & Senate Committees/2023 Version/Fall 2024/Statistics/Output/Committee Delay.APPENDIX F RESULTS.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res}25 Dec 2024, 22:00:52
{txt}{.-}
{smcl}
{txt}{sf}{ul off}